WO2024088413A1 - Interturn fault identification method and apparatus, and electronic device and medium - Google Patents

Abstract

An interturn fault identification method and apparatus, and an electronic device, a readable storage medium, a computer program product and a computer program. The method comprises: acquiring a normal interturn impedance spectrum of a reference generator in a normal interturn state, and a fault interturn impedance spectrum thereof in an abnormal interturn state (S101); acquiring a reference interturn impedance spectrum on the basis of the normal interturn impedance spectrum and the fault interturn impedance spectrum (S102); and acquiring an operation interturn impedance spectrum of a target generator, and acquiring interturn fault information of the target generator on the basis of the operation interturn impedance spectrum and the reference interturn impedance spectrum (S103).

Description

Turn-to-turn fault identification method, device, electronic equipment and medium

CROSS-REFERENCE TO RELATED APPLICATIONS

This disclosure claims priority to Chinese Patent Application No. 2022113304207 filed in China on October 27, 2022, the entire contents of which are incorporated herein by reference.

Technical Field

The present disclosure relates to the field of data processing, and in particular to a turn-to-turn fault identification method and device, electronic equipment, a readable storage medium, a computer program product, and a computer program.

Background technique

During the operation of the generator, there is a possibility of abnormal inter-turn short circuit, which may cause the generator unit to experience abnormal operating conditions such as increased shaft voltage, reduced reactive power, and large shaft magnetization.

In the related art, the inter-turn short circuit of the generator can be monitored by online monitoring and/or offline diagnosis methods, among which the online monitoring method is greatly affected by the operating conditions of the generator set and has low sensitivity. Accordingly, the offline diagnosis method has certain requirements on the implementation environment and cannot realize real-time monitoring of inter-turn short circuit.

Summary of the invention

The purpose of the embodiments of the present disclosure is to solve one of the technical problems in the above-mentioned technology at least to a certain extent.

An embodiment of the first aspect of the present disclosure provides a turn-to-turn fault identification method, comprising: obtaining a normal turn-to-turn impedance spectrum of a reference generator in a normal turn-to-turn state, and a fault turn-to-turn impedance spectrum in an abnormal turn-to-turn state; obtaining a reference turn-to-turn impedance spectrum based on the normal turn-to-turn impedance spectrum and the fault turn-to-turn impedance spectrum; obtaining an operating turn-to-turn impedance spectrum of a target generator, and obtaining turn-to-turn fault information of the target generator based on the operating turn-to-turn impedance spectrum and the reference turn-to-turn impedance spectrum.

The first aspect of the present disclosure provides a method for identifying turn-to-turn faults, which also has the following technical features, including:

According to an embodiment of the present disclosure, the obtaining of a normal turn-to-turn impedance spectrum of a reference generator in a normal turn-to-turn state and a fault turn-to-turn impedance spectrum in an abnormal turn-to-turn state includes: obtaining a normal impedance signal of the reference generator in the normal turn-to-turn state to generate the normal turn-to-turn impedance spectrum of the reference generator in the normal turn-to-turn state; obtaining a winding fault position of the reference generator in the abnormal turn-to-turn state, and obtaining a fault impedance signal of the reference generator based on the winding fault position to generate the fault turn-to-turn impedance spectrum of the reference generator in the abnormal turn-to-turn state.

According to an embodiment of the present disclosure, the obtaining of the operating turn-to-turn impedance spectrum of the target generator and obtaining the turn-to-turn fault information of the target generator based on the operating turn-to-turn impedance spectrum and the reference turn-to-turn impedance spectrum include: monitoring the operation process of the target generator to obtain the operating turn-to-turn impedance spectrum of the target generator; identifying whether the operating turn-to-turn impedance spectrum is abnormal based on the reference turn-to-turn impedance spectrum; in response to identifying the presence of an abnormality in the operating turn-to-turn impedance spectrum, identifying fault impedance information in the operating turn-to-turn impedance spectrum, and obtaining the turn-to-turn fault information of the target generator based on the fault impedance information.

According to an embodiment of the present disclosure, before obtaining the normal turn-to-turn impedance spectrum of the reference generator in a normal turn-to-turn state and the fault turn-to-turn impedance spectrum in an abnormal turn-to-turn state, the method includes: obtaining a first unbalanced current effective value of the reference generator, and obtaining a reference sensitivity coefficient of the reference generator according to the first unbalanced current effective value; obtaining a second unbalanced current effective value of the target generator, and determining whether the turn-to-turn fault information of the target generator can be obtained based on the operating turn-to-turn impedance spectrum according to the second unbalanced current effective value and the reference sensitivity coefficient.

According to an embodiment of the present disclosure, the obtaining of the second unbalanced current effective value of the target generator, and determining whether to obtain the turn-to-turn fault information of the target generator based on the operating turn-to-turn impedance spectrum according to the second unbalanced current effective value and the reference sensitivity coefficient, includes: in response to determining that the turn-to-turn fault information of the target generator cannot be obtained based on the operating turn-to-turn impedance spectrum, obtaining an induced potential signal of the target generator and obtaining a signal analysis result of the induced potential signal; and obtaining the turn-to-turn fault information of the target generator according to the signal analysis result.

According to an embodiment of the present disclosure, the method further includes: acquiring generator parameters of the target generator, and constructing a basic family model and a steel bar family model of the target generator based on the generator parameters; obtaining basic shape parameters and steel bar basic parameters of the target generator according to the generator parameters, and acquiring the reference generator based on the association between the basic shape parameters and the basic family model, and the association between the steel bar basic parameters and the steel bar family model.

The second aspect of the present disclosure provides a turn-to-turn fault identification device, including: an impedance spectrum generation module, used to obtain a normal turn-to-turn impedance spectrum of a reference generator in a normal turn-to-turn state, and a fault turn-to-turn impedance spectrum in an abnormal turn-to-turn state; and, based on the normal turn-to-turn impedance spectrum and the fault turn-to-turn impedance spectrum, obtain a reference turn-to-turn impedance spectrum; a fault identification module, used to obtain an operating turn-to-turn impedance spectrum of a target generator, and based on the operating turn-to-turn impedance spectrum and the reference turn-to-turn impedance spectrum, obtain turn-to-turn fault information of the target generator.

The second aspect of the present disclosure provides a turn-to-turn fault identification device, which also has the following technical features, including:

According to an embodiment of the present disclosure, the device further includes: an analysis module, configured to analyze the normal turn-to-turn impedance spectrum and the fault turn-to-turn impedance spectrum to obtain a fault feature of the reference generator in the turn-to-turn abnormal state.

According to an embodiment of the present disclosure, the impedance spectrum generating module is further used to: obtain the normal impedance signal of the reference generator in the normal state between the turns, so as to generate the normal impedance signal of the reference generator in the normal state between the turns. obtaining a winding fault position of the reference generator in the inter-turn abnormal state, and obtaining a fault impedance signal of the reference generator based on the winding fault position to generate the fault turn-to-turn impedance spectrum of the reference generator in the inter-turn abnormal state.

According to an embodiment of the present disclosure, the fault identification module is further used to: monitor the operation process of the target generator to obtain the operating inter-turn impedance spectrum of the target generator; identify whether there is an abnormality in the operating inter-turn impedance spectrum based on the reference inter-turn impedance spectrum; in response to identifying the presence of an abnormality in the operating inter-turn impedance spectrum, identify fault impedance information in the operating inter-turn impedance spectrum, and obtain the inter-turn fault information of the target generator based on the fault impedance information.

According to an embodiment of the present disclosure, the device also includes a sensitivity coefficient calculation module, which is used to: obtain a first unbalanced current effective value of the reference generator, and obtain a reference sensitivity coefficient of the reference generator based on the first unbalanced current effective value; obtain a second unbalanced current effective value of the target generator, and determine whether the inter-turn fault information of the target generator can be obtained based on the operating inter-turn impedance spectrum according to the second unbalanced current effective value and the reference sensitivity coefficient.

According to an embodiment of the present disclosure, the device also includes a signal analysis module, which is used to: in response to determining that the inter-turn fault information of the target generator cannot be obtained based on the operating inter-turn impedance spectrum, obtain the induced potential signal of the target generator, and obtain a signal analysis result of the induced potential signal; and obtain the inter-turn fault information of the target generator based on the signal analysis result.

According to an embodiment of the present disclosure, the device also includes: an information acquisition module, used to obtain the generator parameters of the target generator, and construct a basic family model and a steel family model of the target generator based on the generator parameters; a construction module, used to obtain the basic shape parameters and steel basic parameters of the target generator according to the generator parameters, and obtain the reference generator based on the association between the basic shape parameters and the basic family model, and the association between the steel basic parameters and the steel family model.

An embodiment of the third aspect of the present disclosure provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the inter-turn fault identification method provided by the first aspect of the present disclosure.

The fourth aspect of the present disclosure provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute the inter-turn fault identification method provided by the first aspect of the present disclosure.

The fifth aspect of the present disclosure provides a computer program product. When an instruction processor in the computer program product is executed, the turn-to-turn fault identification method provided in the first aspect of the present disclosure is executed.

A sixth aspect of the present disclosure provides a computer program, wherein the computer program includes computer program code, and when the computer program code is run on a computer, the computer executes the first aspect of the present disclosure. The method described in the above embodiments.

The turn-to-turn fault identification method and device, electronic device, readable storage medium, computer program product and computer program provided in the embodiments of the present disclosure obtain the normal turn-to-turn impedance spectrum of the reference generator under the normal turn-to-turn state, and the fault turn-to-turn impedance spectrum under the abnormal turn-to-turn state, and then obtain the reference turn-to-turn impedance spectrum of the reference generator. In some embodiments, based on the obtained operating turn-to-turn impedance spectrum of the target generator and the reference turn-to-turn impedance spectrum of the reference generator, the turn-to-turn fault information of the target generator is obtained. In the embodiments of the present disclosure, the turn-to-turn fault of the target generator is identified based on the operating turn-to-turn impedance spectrum of the target generator, the sensitivity of the turn-to-turn fault identification method is improved, the practicality and applicability of the turn-to-turn fault identification method are optimized, the real-time turn-to-turn fault identification of the target generator is realized, the efficiency of turn-to-turn fault identification is improved, and the performance and stability of the target generator are optimized.

Additional aspects and advantages of the embodiments of the present disclosure will be given in part in the description below and in part will become apparent from the description below or will be learned through practice of the embodiments of the present disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

The above and/or additional aspects and advantages of the present disclosure will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

FIG1 is a schematic flow chart of a method for identifying turn-to-turn faults according to an embodiment of the present disclosure;

FIG2 is a schematic flow chart of a method for identifying turn-to-turn faults according to another embodiment of the present disclosure;

FIG3 is a schematic flow chart of a method for identifying turn-to-turn faults according to another embodiment of the present disclosure;

FIG4 is a schematic structural diagram of a turn-to-turn fault identification device according to an embodiment of the present disclosure;

FIG. 5 is a block diagram of an electronic device according to an embodiment of the present disclosure.

Detailed ways

Embodiments of the present disclosure are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

The following describes the turn-to-turn fault identification method and apparatus, electronic device, readable storage medium, computer program product, and computer program according to the embodiments of the present disclosure with reference to the accompanying drawings.

FIG1 is a schematic flow chart of a method for identifying turn-to-turn faults according to an embodiment of the present disclosure. As shown in FIG1 , the method includes steps S101 to S103 .

S101, obtaining a normal turn-to-turn impedance spectrum of a reference generator in a normal turn-to-turn state, and a fault turn-to-turn impedance spectrum in an abnormal turn-to-turn state.

In the implementation, the impedance spectrum of the generator in normal operation and the impedance spectrum when a fault occurs can be obtained, and the fault of the generator that needs to be monitored can be identified.

In some embodiments, a corresponding reference generator may be constructed based on the generator for which fault identification is required, and the impedance spectrum of the reference generator under different operating states may be obtained by simulating different operating states on the reference generator.

In some embodiments, the reference generator in the normal turn-to-turn state may be monitored, and the impedance spectrum obtained by monitoring may be determined as the normal turn-to-turn impedance spectrum of the reference generator in the normal turn-to-turn state.

Accordingly, the reference generator in the abnormal turn-to-turn state can be monitored, and the impedance spectrum obtained by monitoring can be determined as the fault turn-to-turn impedance spectrum of the reference generator in the normal turn-to-turn state.

S102: Acquire a reference turn-to-turn impedance spectrum based on a normal turn-to-turn impedance spectrum and a fault turn-to-turn impedance spectrum.

In some embodiments, based on the impedance spectrum analysis method in the related art, the acquired normal turn-to-turn impedance spectrum and the fault turn-to-turn impedance spectrum can be analyzed, and the integration method of the normal turn-to-turn impedance spectrum and the fault turn-to-turn impedance spectrum can be determined according to the analysis results.

In some embodiments, the normal inter-turn impedance spectrum and the faulty inter-turn impedance spectrum are integrated based on a determined integration method, and the impedance spectrum obtained after the integration is determined as a reference inter-turn impedance spectrum corresponding to the reference generator.

S103, obtaining an operating turn-to-turn impedance spectrum of the target generator, and obtaining turn-to-turn fault information of the target generator based on the operating turn-to-turn impedance spectrum and a reference turn-to-turn impedance spectrum.

In the embodiment of the present disclosure, the reference inter-turn impedance spectrum includes a normal inter-turn impedance spectrum when the inter-turn state is normal, and a faulty inter-turn impedance spectrum when the inter-turn state is abnormal.

In this scenario, the generator that needs to perform turn-to-turn fault identification can be determined as the target generator, and the turn-to-turn impedance spectrum of the target generator can be obtained. The obtained turn-to-turn impedance spectrum of the target generator can be determined as the operating turn-to-turn impedance spectrum of the target generator.

In some embodiments, the obtained operating interturn impedance spectrum can be compared with the reference interturn impedance spectrum, and based on the comparison result, it is determined whether there is abnormal information in the operating interturn impedance spectrum, thereby determining whether an interturn fault occurs in the target generator.

In some embodiments, when it is determined that a turn-to-turn fault occurs in a target generator, the operating turn-to-turn impedance spectrum may be algorithmically processed based on a spectrum analysis algorithm in related technologies, and turn-to-turn fault information of the target generator may be obtained based on the result of the algorithm processing.

It should be noted that the turn-to-turn fault information of the target generator may include relevant parameter information of the abnormal winding of the target generator, such as the location information of the abnormal winding and the specific fault type, etc., which is not specifically limited here.

The turn-to-turn fault identification method proposed in the embodiment of the present disclosure obtains the normal turn-to-turn impedance spectrum of the reference generator in the normal turn-to-turn state and the fault turn-to-turn impedance spectrum in the abnormal turn-to-turn state, thereby obtaining the reference turn-to-turn impedance spectrum of the reference generator. The reference turn-to-turn impedance spectrum of the target generator is used to obtain the turn-to-turn fault information of the target generator. In the disclosed embodiment, the turn-to-turn fault of the target generator is identified based on the operating turn-to-turn impedance spectrum of the target generator, the sensitivity of the turn-to-turn fault identification method is improved, the practicality and applicability of the turn-to-turn fault identification method are optimized, the real-time turn-to-turn fault identification of the target generator is achieved, the efficiency of turn-to-turn fault identification is improved, and the performance and stability of the target generator are optimized.

In the above embodiment, the identification of turn-to-turn fault information can be further understood in conjunction with FIG. 2 , which is a flow chart of a turn-to-turn fault identification method according to another embodiment of the present disclosure. As shown in FIG. 2 , the method includes steps S201 to S204 .

S201, obtaining a normal inter-turn impedance spectrum of a reference generator in a normal inter-turn state, and a fault inter-turn impedance spectrum in an abnormal inter-turn state.

In some embodiments, the generator parameters of the target generator are obtained, and the basic family model and the reinforcement family model of the target generator are constructed based on the generator parameters.

In the embodiments of the present disclosure, relevant parameters of the generator may be acquired, and based on the acquired relevant parameters, a reference generator may be constructed by a modeling method in related technology.

The parameters of the generator may include electromagnetic torque of the generator, stator current of the generator, induced potential signal of the generator, rotor current of the generator, reactive power of the generator, active power of the generator and other related parameters.

In this scenario, the corresponding basic family model and reinforcement family model can be constructed based on the parameters of the generator.

In some embodiments, basic shape parameters and reinforcement basic parameters of the target generator are obtained according to the generator parameters, and a reference generator is obtained based on the association between the basic shape parameters and the basic family model, and the association between the reinforcement basic parameters and the reinforcement family model.

In the disclosed embodiment, the basic shape parameters of the generator that needs to be fault identified and related generator parameters such as the basic steel bar parameters can be obtained, and the obtained basic shape parameters can be associated with the constructed basic family model, and the obtained basic steel bar parameters can be associated with the steel bar family model, thereby realizing the construction of the basic model of the reference generator.

It should be noted that the acquired basic shape parameters may include basic parameters of the reference generator, basic ring parameters, protection layer parameters and other related shape parameters of the reference generator, which are not specifically limited here.

Accordingly, the basic steel bar parameters obtained may include basic steel bar parameters related to the reference generator's steel bar diameter parameters, steel bar quantity parameters, steel bar length parameters, spacing parameters between steel bars, and steel bar fixing parameters, which are not specifically limited here.

In some embodiments, the following contents may be combined to better understand the construction of the rebar family model:

In some implementations, a basic type of traversal may be performed on a generator that requires turn-to-turn fault identification to obtain a steel bar primitive corresponding to the generator. In some embodiments, the obtained steel bar primitives are classified to obtain a steel bar tree structure corresponding to the generator.

In this scenario, the steel bar model can be constructed according to the obtained steel bar tree structure, so as to obtain the steel bar family model corresponding to the reference generator.

Among them, according to the steel bar tree structure corresponding to each type of steel bar graphic element obtained after classification, the steel bar model corresponding to each type of steel bar graphic element can be constructed respectively, and then the steel bar family model corresponding to the reference generator can be obtained.

In the disclosed embodiment, adaptive point reinforcements under the corresponding type of reinforcement graphic element can be constructed according to the reinforcement tree structure corresponding to each type of reinforcement graphic element, and the endpoints and inflection points of the adaptive point reinforcements in the reinforcement tree structure corresponding to each type of reinforcement graphic element can be marked.

In some embodiments, based on the marked endpoints and inflection points, the steel bar tree structure corresponding to each type of steel bar graphic element is constructed respectively, and based on the total steel bar tree model corresponding to the reference generator, the steel bar tree structures corresponding to all types of steel bar graphic elements are combined to obtain the steel bar family model corresponding to the reference generator.

In some embodiments, the following contents may be combined to better understand the association between the basic shape parameters and the basic family model and the association between the basic reinforcement parameters and the reinforcement family model:

In the disclosed embodiments, the steel bar arrangement structure in the steel bar family model can be obtained, and the control points in the steel bar arrangement structure can be obtained. In some embodiments, the control points in the obtained steel bar arrangement structure can be associated with the obtained basic steel bar parameters.

Among them, the adaptive points under each type of steel bar element in the basic steel bar parameters can be obtained and associated with the control points in the steel bar family model, and the model parameters of the steel bar family model can be modified based on the basic steel bar parameters, thereby realizing the association between the basic steel bar parameters and the steel bar family model.

Accordingly, the model parameters in the basic family model can be obtained and associated with the obtained basic shape parameters, and the model parameters of the basic family model can be adjusted based on the obtained basic shape parameters, thereby realizing the association between the basic shape parameters and the basic family model.

In some embodiments, based on the basic family model associated with the shape parameters and the steel bar family model associated with the basic steel bar parameters, a generator model corresponding to the generator requiring turn-to-turn fault identification is obtained and determined as a reference generator.

In some embodiments, a normal impedance signal of the reference generator in a normal turn-to-turn state may be acquired to generate a normal turn-to-turn impedance spectrum of the reference generator in a normal turn-to-turn state.

In the disclosed embodiment, the current of the reference generator can be turned on when the reference generator is in a normal turn-to-turn state, and the turn-to-turn impedance signal of the reference generator can be monitored to obtain the turn-to-turn impedance signal of the reference generator in the normal turn-to-turn state, and the signal can be determined as the normal impedance signal of the reference generator.

The reference generator may be controlled to be at different frequencies, and a normal impedance signal of the reference generator at each of the different frequencies may be obtained.

In some embodiments, normal impedance values of the reference generator at different frequencies are obtained according to the normal impedance signal, and an impedance spectrum of the reference generator in a normal turn-to-turn state is generated according to the obtained normal impedance values as the normal turn-to-turn impedance spectrum of the reference generator.

In some embodiments, the winding fault position of the reference generator in the turn-to-turn abnormal state can be obtained, and the fault impedance signal of the reference generator based on the winding fault position can be obtained to generate the fault turn-to-turn impedance spectrum of the reference generator in the turn-to-turn abnormal state.

In the embodiment of the present disclosure, the current of the reference generator can be turned on when the reference generator is in an abnormal turn-to-turn state, and the turn-to-turn impedance signal of the reference generator can be monitored to obtain the turn-to-turn impedance signal of the reference generator in the abnormal turn-to-turn state, and the signal can be determined as the fault impedance signal of the reference generator.

The position of the winding fault of the reference generator may be set, wherein the set position of the winding fault of the reference generator may be determined as the winding fault position of the reference generator in the turn-to-turn abnormal state.

It should be noted that the reference winding fault position of the generator in the inter-turn abnormal state may include the fault position of one winding or the fault positions of multiple windings, which is not specifically limited here.

In this scenario, the reference generator can be controlled to be at different frequencies, thereby obtaining the fault impedance signal of the reference generator at different frequencies and different winding fault positions.

For example, the location of the winding fault of the current reference generator is set to position A. In this scenario, the reference generator can be controlled to be at different frequencies, so as to obtain the fault impedance signal of the reference generator at different frequencies in the scenario where the winding fault is at position A.

Accordingly, the winding fault position of the reference generator is changed to position B, and the fault impedance signals of the reference generator at different frequencies are obtained when the winding fault is at position B.

This process is deduced in this way until all winding fault locations are obtained, referring to the fault impedance signals of the generator at different frequencies.

In some embodiments, according to the fault impedance signal, the fault impedance values of the reference generator at different frequencies are obtained in the scenario of all winding fault locations, and then the impedance spectrum of the reference generator in the abnormal interturn state is generated as the fault interturn impedance spectrum of the reference generator.

S202: monitoring the operation process of the target generator to obtain the operating turn-to-turn impedance spectrum of the target generator.

In some embodiments, based on the signal monitoring method of the impedance signal in the related art, the operation process of the target generator can be monitored to obtain the impedance signal of the target generator during the operation process.

For example, an impedance signal acquisition sensor may be provided at the impedance signal acquisition location corresponding to the target generator, and the impedance signal generated by the target generator during operation may be collected based on the sensor, thereby obtaining the impedance signal generated by the target generator during operation.

In some embodiments, the impedance value of the target generator during operation is obtained from the impedance signal generated by the monitored target generator during operation, and the obtained impedance value of the target generator during operation is processed according to the spectrum generation algorithm in the relevant technology to generate the operating turn-to-turn impedance spectrum of the target generator.

S203: Identify whether there is an abnormality in the operating turn-to-turn impedance spectrum according to the reference turn-to-turn impedance spectrum.

In some embodiments, the obtained operating turn-to-turn impedance spectrum of the target generator can be compared with the reference turn-to-turn impedance spectrum of the reference generator, and the operating turn-to-turn impedance spectrum and the reference turn-to-turn impedance spectrum can be algorithmically processed based on the impedance spectrum comparison analysis algorithm in the related art.

In some embodiments, abnormal information in the operating turn-to-turn impedance spectrum is identified based on the result of algorithm processing.

It can be understood that when the result of the algorithm processing indicates that there is no relevant abnormal information in the running interturn impedance spectrum, it can be determined that there is no abnormality in the running interturn impedance spectrum. In this scenario, it can be determined that there is no abnormality in the current interturn state of the target generator.

Accordingly, when the result of the algorithm processing indicates that there is relevant abnormal information in the running interturn impedance spectrum, it can be determined that there is an abnormality in the running interturn impedance spectrum. In this scenario, it can be determined that there is an abnormality in the current interturn state of the target generator.

S204, in response to identifying that the running inter-turn impedance spectrum is abnormal, identifying fault impedance information in the running inter-turn impedance spectrum, and acquiring inter-turn fault information of the target generator according to the fault impedance information.

In the embodiment of the present disclosure, when it is identified that the operating inter-turn impedance spectrum of the target generator is abnormal, it can be determined that the inter-turn state of the target generator corresponding to the operating inter-turn impedance spectrum is abnormal.

In this scenario, the turn-to-turn fault information of the target generator can be determined based on the specific information carried in the operating turn-to-turn impedance spectrum.

In some embodiments, the operating inter-turn impedance spectrum may be compared with a reference inter-turn impedance spectrum, wherein the fault inter-turn impedance spectrum included in the reference inter-turn impedance spectrum carries relevant information about the winding fault location.

In this scenario, the fault impedance information in the operating turn-to-turn impedance spectrum can be compared with the impedance information corresponding to the winding fault position in the reference turn-to-turn impedance spectrum. Based on the comparison result, impedance information matching the fault impedance information is obtained from the impedance information corresponding to the winding fault position, and the winding fault position corresponding to the impedance information is determined as the winding fault position of the target generator indicated by the fault impedance information in the operating turn-to-turn impedance spectrum.

In some embodiments, turn-to-turn fault information of the target generator is generated based on the acquired winding fault position and other related fault information of the target generator.

The turn-to-turn fault identification method proposed in the embodiment of the present disclosure obtains the normal turn-to-turn impedance spectrum of the reference generator in the normal turn-to-turn state and the fault turn-to-turn impedance spectrum in the abnormal turn-to-turn state, and then obtains the reference turn-to-turn impedance spectrum of the reference generator. The anti-spectrum identifies whether there is an abnormality in the running inter-turn impedance spectrum, and when it is identified that there is an abnormality in the running inter-turn impedance spectrum, the fault impedance information in the running inter-turn impedance spectrum is obtained, and then the inter-turn fault information of the target generator is obtained. In the embodiment of the present disclosure, the inter-turn fault of the target generator is identified based on the running inter-turn impedance spectrum of the target generator, the sensitivity of the inter-turn fault identification method is improved, the practicality and applicability of the inter-turn fault identification method are optimized, the real-time inter-turn fault identification of the target generator is realized, the efficiency of inter-turn fault identification is improved, and the performance and stability of the target generator are optimized.

In the embodiment of the present disclosure, it is also possible to judge whether to perform inter-turn fault identification on the target generator based on the inter-turn fault identification method proposed in the above embodiment. This can be understood in conjunction with Figure 3. Figure 3 is a flow chart of the inter-turn fault identification method of another embodiment of the present disclosure. As shown in Figure 3, the method includes steps S301 to S302.

S301, obtaining a first unbalanced current effective value of a reference generator, and obtaining a reference sensitivity coefficient of the reference generator according to the first unbalanced current effective value.

In the disclosed embodiment, normal parameters of the reference generator in a normal turn-to-turn state and abnormal parameters in an abnormal turn-to-turn state can be obtained, and based on the algorithm of the effective value of unbalanced current in the related technology, the obtained normal parameters and abnormal parameters of the reference generator are algorithmically processed, and based on the result of the algorithm processing, the effective value of the unbalanced current of the reference generator is obtained.

The unbalanced current effective value of the reference generator may be identified as the first unbalanced current effective value of the reference generator.

In some embodiments, the winding fault position of a reference generator in an abnormal turn-to-turn state can be set, and the unbalanced current effective value of the reference generator when a fault occurs at different winding positions can be obtained, and the obtained part of the unbalanced current effective value can be determined as the first unbalanced current effective value of the reference generator.

In this scenario, the reference sensitivity coefficient of the reference generator can be obtained according to the first unbalanced current effective value corresponding to the reference generator when a fault occurs at different winding positions.

In some embodiments, based on the sensitivity coefficient algorithm in the relevant technology, the first unbalanced current effective value corresponding to the reference generator when a fault occurs at different winding positions can be algorithmically processed, and the sensitivity coefficient of the reference generator can be obtained according to the result of the algorithm processing, and it is determined as the reference sensitivity coefficient of the reference generator.

S302, obtaining a second unbalanced current effective value of the target generator, and determining whether turn-to-turn fault information of the target generator can be obtained based on an operating turn-to-turn impedance spectrum according to the second unbalanced current effective value and a reference sensitivity coefficient.

In the disclosed embodiment, normal parameters of the target generator in the normal turn-to-turn state and abnormal parameters in the abnormal turn-to-turn state can be obtained, and based on the algorithm of the effective value of unbalanced current in the related technology, the obtained normal parameters and abnormal parameters of the target generator are algorithmically processed, and based on the result of the algorithm processing, the effective value of the unbalanced current of the target generator is obtained.

The unbalanced current effective value of the target generator may be identified as the second unbalanced current effective value of the target generator.

In some embodiments, a corresponding judgment standard may be set based on the second unbalanced current effective value and a reference sensitivity coefficient of a reference generator, and the second unbalanced current effective value and the reference sensitivity coefficient may be compared with the preset judgment standard.

When the second unbalanced current effective value and the reference sensitivity coefficient meet the preset judgment criteria, it can be determined that the target generator can perform turn-to-turn fault identification through the reference turn-to-turn impedance spectrum and the operating turn-to-turn impedance spectrum.

Accordingly, when the second unbalanced current effective value and the reference sensitivity coefficient do not meet the preset judgment criteria, it can be determined that the target generator cannot perform turn-to-turn fault identification through the reference turn-to-turn impedance spectrum and the operating turn-to-turn impedance spectrum.

In the embodiments of the present disclosure, in order to achieve stable inter-turn fault identification of the target generator, in the scenario where it is determined that the target generator cannot perform inter-turn fault identification through the reference inter-turn impedance spectrum and the operating inter-turn impedance spectrum, other methods can be used to achieve inter-turn fault identification of the target generator.

In some implementations, other parameters of the target generator may be analyzed to identify turn-to-turn faults of the target generator, wherein, in response to determining that it is not possible to obtain turn-to-turn fault information of the target generator based on the operating turn-to-turn impedance spectrum, an induced potential signal of the target generator may be obtained, and a signal analysis result of the induced potential signal may be obtained.

In some embodiments, the induced potential signal of the target generator may be acquired, and based on a signal analysis method in related art, the acquired induced potential signal may be analyzed and processed to obtain a signal analysis result.

In some embodiments, turn-to-turn fault information of the target generator may be acquired based on the signal analysis result.

In some embodiments, wavelet analysis and wavelet function analysis may be performed on the induced potential signal of the target generator, and the turn-to-turn fault of the target generator may be identified based on the signal analysis results obtained by the wavelet analysis and the wavelet function analysis.

In the scenario where the target generator is identified to have an inter-turn fault based on the signal analysis results, the induced potential signal can be subjected to wavelet analysis and wavelet function analysis, and the high-frequency low part of the induced potential signal can be reconstructed to monitor whether there are singular points therein.

In some embodiments, based on the monitoring result of the singular point, the winding fault position of the target generator in the turn-to-turn abnormal state is located, and then the turn-to-turn fault information of the target generator is obtained.

The turn-to-turn fault identification method proposed in the embodiment of the present disclosure obtains the first unbalanced current effective value of the reference generator, thereby obtaining the reference sensitivity coefficient of the reference generator. Accordingly, the second unbalanced current effective value of the target generator is obtained, and according to the second unbalanced current effective value and the reference sensitivity coefficient, it is determined whether the turn-to-turn fault information of the target generator can be obtained based on the running turn-to-turn impedance spectrum. In the embodiment of the present disclosure, based on the unbalanced current effective value The value and the reference sensitivity coefficient are used to judge whether the target generator can obtain the inter-turn fault information based on the running inter-turn impedance spectrum. When it is determined that the inter-turn fault information cannot be obtained based on the running inter-turn impedance spectrum, the inter-turn fault of the target generator is identified by analyzing the induced potential signal, which optimizes the practicality and applicability of the inter-turn fault identification method, improves the efficiency of inter-turn fault identification, and optimizes the performance and stability of the target generator.

Corresponding to the inter-turn fault identification methods proposed in the above-mentioned embodiments, an embodiment of the present disclosure also proposes an inter-turn fault identification device. Since the inter-turn fault identification device proposed in the embodiment of the present disclosure corresponds to the inter-turn fault identification methods proposed in the above-mentioned embodiments, the implementation method of the above-mentioned inter-turn fault identification method is also applicable to the inter-turn fault identification device proposed in the embodiment of the present disclosure, and will not be described in detail in the following embodiments.

FIG4 is a schematic diagram of the structure of a turn-to-turn fault identification device according to an embodiment of the present disclosure. As shown in FIG4 , the turn-to-turn fault identification device 400 includes an impedance spectrum generation module 41, a fault identification module 42, a monitoring module 43, an analysis module 44, a sensitivity coefficient calculation module 45, a signal analysis module 46, a data acquisition module 47, a data correction module 48, an information acquisition module 49, a construction module 410, an output module 411 and a central control module 412, wherein:

The impedance spectrum generation module 41 is used to obtain the normal inter-turn impedance spectrum of the reference generator in the normal inter-turn state and the fault inter-turn impedance spectrum in the abnormal inter-turn state, and obtain the reference inter-turn impedance spectrum based on the normal inter-turn impedance spectrum and the fault inter-turn impedance spectrum.

The fault identification module 42 is used to obtain the operating inter-turn impedance spectrum of the target generator, and obtain the inter-turn fault information of the target generator based on the operating inter-turn impedance spectrum and the reference inter-turn impedance spectrum.

In some embodiments, the turn-to-turn fault identification device 400 further includes a monitoring module 43 for monitoring the impedance signal generated in real time during the operation of the target generator, so that the fault identification module 42 can obtain the operating turn-to-turn impedance spectrum of the target generator.

In the disclosed embodiment, the device further includes: an analysis module 44 for analyzing a normal turn-to-turn impedance spectrum and a fault turn-to-turn impedance spectrum to obtain a fault feature of a reference generator in an abnormal turn-to-turn state.

In some embodiments, the normal inter-turn impedance spectrum and the faulty inter-turn impedance spectrum can be analyzed based on the analysis module 44 to obtain relevant fault characteristics of the reference generator in the inter-turn abnormal state, thereby realizing the inter-turn fault identification of the target generator.

In the embodiment of the present disclosure, the impedance spectrum generating module 41 is further used to: obtain a normal impedance signal of the reference generator in a normal turn-to-turn state to generate a normal turn-to-turn impedance spectrum of the reference generator in a normal turn-to-turn state; obtain a winding fault position of the reference generator in an abnormal turn-to-turn state, and obtain a fault impedance signal of the reference generator based on the winding fault position to generate a fault turn-to-turn impedance spectrum of the reference generator in an abnormal turn-to-turn state.

In the embodiment of the present disclosure, the fault identification module 42 is further used to monitor the operation process of the target generator to obtain the operating turn-to-turn impedance spectrum of the target generator. In response to identifying that the running inter-turn impedance spectrum is abnormal, fault impedance information in the running inter-turn impedance spectrum is identified, and inter-turn fault information of the target generator is acquired according to the fault impedance information.

In the disclosed embodiment, the device further includes a sensitivity coefficient calculation module 45, which is used to: obtain a first unbalanced current effective value of the reference generator, and obtain a reference sensitivity coefficient of the reference generator according to the first unbalanced current effective value. Obtain a second unbalanced current effective value of the target generator, and determine whether the turn-to-turn fault information of the target generator can be obtained based on the running turn-to-turn impedance spectrum according to the second unbalanced current effective value and the reference sensitivity coefficient.

In the disclosed embodiment, the device further includes a signal analysis module 46, which is used to: in response to determining that the inter-turn fault information of the target generator cannot be obtained based on the operating inter-turn impedance spectrum, obtain the induced potential signal of the target generator, and obtain the signal analysis result of the induced potential signal. According to the signal analysis result, the inter-turn fault information of the target generator is obtained.

In some embodiments, the inter-turn fault identification device 400 also includes a data acquisition module 47 and a data correction module 48, wherein the corresponding parameters of the reference generator and/or the target generator in different states can be collected according to the data acquisition module 47. In this scenario, the corresponding parameters of the reference generator and/or the target generator in different states collected by the data acquisition module 47 can also be corrected based on the data correction module 48.

In the disclosed embodiment, the turn-to-turn fault identification device 400 also includes an information acquisition module 49 and a construction module 410, wherein the information acquisition module 49 is used to obtain the generator parameters of the target generator, and to construct a basic family model and a steel bar family model of the target generator based on the generator parameters; the construction module 410 is used to obtain the basic shape parameters and the basic steel bar parameters of the target generator according to the generator parameters, and to obtain a reference generator based on the association between the basic shape parameters and the basic family model, and the association between the basic steel bar parameters and the steel bar family model.

In some embodiments, the turn-to-turn fault identification device 400 further includes an output module 411 for outputting turn-to-turn fault information of the target generator obtained by performing turn-to-turn fault identification on the target generator.

It should be noted that the inter-turn fault identification device also includes a central control module 412, wherein the impedance spectrum generation module 41, the fault identification module 42, the monitoring module 43, the analysis module 44, the sensitivity coefficient calculation module 45, the signal analysis module 46, the data acquisition module 47, the data correction module 48, the information acquisition module 49, the construction module 410 and the output module 411 proposed in the embodiment of the present disclosure are all connected to the central control module 412.

In this scenario, the operation control of the impedance spectrum generation module 41, the fault identification module 42, the monitoring module 43, the analysis module 44, the sensitivity coefficient calculation module 45, the signal analysis module 46, the data acquisition module 47, the data correction module 48, the information acquisition module 49, the construction module 410 and the output module 411 is realized through the control unit in the central control module 412.

The turn-to-turn fault identification device proposed in the embodiment of the present disclosure obtains the normal turn-to-turn impedance spectrum of the reference generator in the normal turn-to-turn state and the fault turn-to-turn impedance spectrum in the abnormal turn-to-turn state, and then obtains the reference turn-to-turn impedance spectrum of the reference generator. In some embodiments, based on the obtained operating turn-to-turn impedance spectrum of the target generator and the reference turn-to-turn impedance spectrum of the reference generator, the turn-to-turn fault information of the target generator is obtained. In the embodiment of the present disclosure, based on the target generator, The running interturn impedance spectrum of the motor realizes the identification of the interturn fault of the target generator, improves the sensitivity of the interturn fault identification method, optimizes the practicality and applicability of the interturn fault identification method, realizes real-time interturn fault identification of the target generator, improves the efficiency of interturn fault identification, and optimizes the performance and stability of the target generator.

To achieve the above embodiments, the embodiments of the present disclosure also provide an electronic device, a computer-readable storage medium, a computer program product, and a computer program.

In order to implement the above-mentioned embodiments, the embodiments of the present disclosure also provide an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the inter-turn fault identification method provided in the embodiment of the first aspect of the present disclosure.

FIG5 is a block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device shown in FIG5 can implement the turn-to-turn fault identification method of the embodiments of FIG1 to FIG3 .

In order to implement the above-mentioned embodiments, the embodiments of the present disclosure further provide a non-transitory computer-readable storage medium storing computer instructions, where the computer instructions are used to enable a computer to execute the turn-to-turn fault identification method of the embodiments of FIG. 1 to FIG. 3 .

In order to implement the above-mentioned embodiment, the embodiment of the present disclosure further provides a computer program product. When the instruction processor in the computer program product is executed, the turn-to-turn fault identification method of the embodiment of Figures 1 to 3 is executed.

In order to implement the above embodiments, the embodiments of the present disclosure further provide a computer program, which includes computer program code. When the computer program code runs on a computer, the computer executes the turn-to-turn fault identification method of the embodiments of Figures 1 to 3.

In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the disclosed embodiments. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of the embodiments of the present disclosure, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

Any process or method description described in the flowchart or otherwise herein can be understood as a module, segment, or code representing one or more executable instructions for implementing a custom logical function or process. or part thereof, and the scope of the preferred embodiments of the present disclosure includes additional implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in a reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present disclosure belong.

The logic and/or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

It should be understood that the various parts of the present disclosure can be implemented in hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

It should be noted that the aforementioned explanations of the method and device embodiments are also applicable to the electronic devices, vehicles, computer-readable storage media, computer program products and computer programs of the above embodiments, and will not be repeated here.

A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

In addition, each functional unit in each embodiment of the present disclosure may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present disclosure have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present disclosure. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present disclosure.

All embodiments of the present disclosure may be implemented individually or in combination with other embodiments, and are deemed to be within the protection scope required by the present disclosure.

Claims (17)

1. A turn-to-turn fault identification method, characterized in that the method comprises:

   Obtaining a normal inter-turn impedance spectrum of a reference generator in a normal inter-turn state and a fault inter-turn impedance spectrum in an abnormal inter-turn state;

   Based on the normal inter-turn impedance spectrum and the fault inter-turn impedance spectrum, obtaining a reference inter-turn impedance spectrum;

   An operating inter-turn impedance spectrum of a target generator is obtained, and inter-turn fault information of the target generator is obtained based on the operating inter-turn impedance spectrum and the reference inter-turn impedance spectrum.
2. The method according to claim 1 is characterized in that the obtaining of the normal turn-to-turn impedance spectrum of the reference generator in a normal turn-to-turn state and the fault turn-to-turn impedance spectrum in an abnormal turn-to-turn state comprises:

   Acquire a normal impedance signal of the reference generator in the normal turn-to-turn state to generate the normal turn-to-turn impedance spectrum of the reference generator in the normal turn-to-turn state;

   The winding fault position of the reference generator in the turn-to-turn abnormal state is obtained, and a fault impedance signal of the reference generator based on the winding fault position is obtained to generate the fault turn-to-turn impedance spectrum of the reference generator in the turn-to-turn abnormal state.
3. The method according to claim 1 or 2, characterized in that the obtaining of the operating turn-to-turn impedance spectrum of the target generator, and obtaining the turn-to-turn fault information of the target generator based on the operating turn-to-turn impedance spectrum and the reference turn-to-turn impedance spectrum, comprises:

   Monitoring the operation process of the target generator to obtain the operating turn-to-turn impedance spectrum of the target generator;

   According to the reference inter-turn impedance spectrum, identifying whether the operating inter-turn impedance spectrum is abnormal;

   In response to identifying that the operating inter-turn impedance spectrum is abnormal, fault impedance information in the operating inter-turn impedance spectrum is identified, and the inter-turn fault information of the target generator is acquired according to the fault impedance information.
4. The method according to any one of claims 1 to 3, characterized in that before obtaining the normal turn-to-turn impedance spectrum of the reference generator in a normal turn-to-turn state and the fault turn-to-turn impedance spectrum in an abnormal turn-to-turn state, the method comprises:

   Acquire a first unbalanced current effective value of the reference generator, and obtain a reference sensitivity coefficient of the reference generator according to the first unbalanced current effective value;

   A second unbalanced current effective value of the target generator is obtained, and according to the second unbalanced current effective value and the reference sensitivity coefficient, it is determined whether the turn-to-turn fault information of the target generator can be obtained based on the operating turn-to-turn impedance spectrum.
5. The method according to claim 4, characterized in that the obtaining of the second unbalanced current effective value of the target generator, and determining whether to obtain the turn-to-turn fault information of the target generator based on the operating turn-to-turn impedance spectrum according to the second unbalanced current effective value and the reference sensitivity coefficient, comprises:

   In response to determining that the turn-to-turn fault information of the target generator cannot be obtained based on the operating turn-to-turn impedance spectrum, obtaining an induced potential signal of the target generator and obtaining a signal analysis result of the induced potential signal;

   The turn-to-turn fault information of the target generator is obtained according to the signal analysis result.
6. The method according to any one of claims 1 to 5, characterized in that the method further comprises:

   Acquire generator parameters of the target generator, and construct a basic family model and a steel family model of the target generator based on the generator parameters;

   The basic shape parameters and the basic reinforcement parameters of the target generator are obtained according to the generator parameters, and the reference generator is obtained based on the association between the basic shape parameters and the basic family model, and the association between the basic reinforcement parameters and the steel family model.
7. A turn-to-turn fault identification device, characterized in that the device comprises:

   An impedance spectrum generating module is used to obtain a normal inter-turn impedance spectrum of a reference generator in a normal inter-turn state and a fault inter-turn impedance spectrum in an abnormal inter-turn state; and based on the normal inter-turn impedance spectrum and the fault inter-turn impedance spectrum, obtain a reference inter-turn impedance spectrum;

   The fault identification module is used to obtain the operating inter-turn impedance spectrum of the target generator, and obtain the inter-turn fault information of the target generator based on the operating inter-turn impedance spectrum and the reference inter-turn impedance spectrum.
8. The device according to claim 7, characterized in that the device further comprises:

   The analysis module is used to analyze the normal inter-turn impedance spectrum and the fault inter-turn impedance spectrum to obtain the fault characteristics of the reference generator in the abnormal inter-turn state.
9. The device according to claim 7 or 8, characterized in that the impedance spectrum generating module is further used for:

   Acquire a normal impedance signal of the reference generator in the normal turn-to-turn state to generate the normal turn-to-turn impedance spectrum of the reference generator in the normal turn-to-turn state;

   The winding fault position of the reference generator in the turn-to-turn abnormal state is obtained, and a fault impedance signal of the reference generator based on the winding fault position is obtained to generate the fault turn-to-turn impedance spectrum of the reference generator in the turn-to-turn abnormal state.
10. The device according to any one of claims 7 to 9, characterized in that the fault identification module is further used to:

    Monitoring the operation process of the target generator to obtain the operating turn-to-turn impedance spectrum of the target generator;

    According to the reference inter-turn impedance spectrum, identifying whether the operating inter-turn impedance spectrum is abnormal;

    In response to identifying that the operating inter-turn impedance spectrum is abnormal, fault impedance information in the operating inter-turn impedance spectrum is identified, and the inter-turn fault information of the target generator is acquired according to the fault impedance information.
11. The device according to any one of claims 7 to 10, characterized in that the device further comprises a sensitivity coefficient calculation module, which is used to:

    Acquire a first unbalanced current effective value of the reference generator, and obtain a reference sensitivity coefficient of the reference generator according to the first unbalanced current effective value;

    A second unbalanced current effective value of the target generator is obtained, and according to the second unbalanced current effective value and the reference sensitivity coefficient, it is determined whether the turn-to-turn fault information of the target generator can be obtained based on the operating turn-to-turn impedance spectrum.
12. The device according to claim 11, characterized in that the device further comprises a signal analysis module, configured to:

    In response to determining that it is not possible to obtain the turn-to-turn fault information of the target generator based on the operating turn-to-turn impedance spectrum, obtaining an induced potential signal of the target generator, and obtaining a signal analysis result of the induced potential signal;

    The turn-to-turn fault information of the target generator is obtained according to the signal analysis result.
13. The device according to any one of claims 7 to 12, characterized in that the device further comprises:

    An information acquisition module, used for acquiring the generator parameters of the target generator, and constructing a basic family model and a steel family model of the target generator based on the generator parameters;

    A construction module is used to obtain the basic shape parameters and the basic steel bar parameters of the target generator according to the generator parameters, and obtain the reference generator based on the association between the basic shape parameters and the basic family model, and the association between the basic steel bar parameters and the steel bar family model.
14. An electronic device, comprising:

    at least one processor; and

    a memory communicatively connected to the at least one processor; wherein,

    The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 6.
15. A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 6.
16. A computer program product comprises a computer program, wherein when the computer program is executed by a processor, the computer program implements the method according to any one of claims 1 to 6.
17. A computer program, characterized in that the computer program comprises computer program code, and when the computer program code is run on a computer, the computer is caused to execute the method according to any one of claims 1 to 6.