CN115841046B - Accelerated degradation test data processing method and device based on wiener process - Google Patents
Accelerated degradation test data processing method and device based on wiener process Download PDFInfo
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Abstract
The application relates to a method, a device, computer equipment and a storage medium for processing accelerated degradation test data based on a wiener process. The method comprises the following steps: acquiring accelerated degradation test data of a product to be tested, screening a target time folding model from a preset time folding model set according to the accelerated degradation test data, constructing a nonlinear wiener degradation process based on the target time folding model, determining a product reliability function of the product to be tested, testing the reliability of the product to be tested according to the product reliability function, and obtaining a product reliability test result of the product to be tested. The scheme is based on the screened target time folding model, a nonlinear wiener process is constructed, and nonlinearity of performance degradation is considered; and based on the nonlinear wiener process, determining a product reliability function, and accurately testing the reliability of the product to be tested by utilizing the product reliability function. In conclusion, by adopting the method, accurate product reliability test can be realized.
Description
Technical Field
The application relates to the technical field of accelerated degradation tests, in particular to a data processing method, a device, computer equipment and a storage medium for an accelerated degradation test based on a wiener process.
Background
The accelerated degradation test is to adopt stress conditions which are harsh to normal use of the product, accelerate the degradation process of the product performance along with time and stress under the condition of keeping the failure mechanism unchanged, collect accelerated degradation data of the product, and realize rapid test and evaluation of the reliability and service life of the product through statistical inference and extrapolation.
The conventional data analysis method for the accelerated degradation test adopts a linear wiener process, and has the advantages of simple form and simple and convenient calculation. The method for analyzing the accelerated degradation data considers the nonlinearity of the performance degradation of the product, adopts a specific model to fold the performance degradation time, and improves the reliability evaluation accuracy to a certain extent.
However, the above methods only consider the linearity of the performance degradation, and are suitable for the situation that the performance degradation of the product obeys a linear function along with time, so that the accuracy of the test result is not high.
It follows that there is a need to provide an accurate product reliability test scheme.
Disclosure of Invention
Based on this, it is necessary to provide an accurate accelerated degradation testing data processing method, device, computer equipment and computer readable storage medium based on wiener process in view of the above technical problems.
In a first aspect, the present application provides a method for processing accelerated degradation testing data based on a wiener process. The method comprises the following steps:
acquiring accelerated degradation test data of a product to be tested;
screening a target time folding model from a preset time folding model set according to the accelerated degradation test data;
based on a target time folding model, constructing a nonlinear wiener degradation process, and determining a product reliability function of a product to be detected;
and testing the reliability of the product to be tested according to the product reliability function to obtain a product reliability test result of the product to be tested.
In one embodiment, constructing a nonlinear wiener degradation process based on a target time-folded model, determining a product reliability function for a product to be tested includes:
constructing an initial nonlinear wiener process based on the target time folding model;
constructing an initial product reliability function based on an initial nonlinear wiener process;
and evaluating nonlinear wiener process parameters in the initial product reliability function, and determining the product reliability function of the product to be tested.
In one embodiment, evaluating the nonlinear wiener process parameters in the initial product reliability function, determining the product reliability function for the product under test includes:
obtaining a failure probability density function of a product to be tested according to the initial product reliability function;
and determining nonlinear wiener process parameters in the initial product reliability function according to a pre-constructed maximum likelihood function of performance degradation, a product reliability function and a failure probability density function, and determining a product reliability function of a product to be detected.
In one embodiment, the product reliability test results include a first average time between failures and a second average time between failures, and the accelerated degradation test data includes a plurality of sets of accelerated degradation test stresses;
according to the product reliability function, testing the reliability of the product to be tested, and obtaining the product reliability test result of the product to be tested comprises the following steps:
according to a product reliability function, testing the reliability of the product to be tested under each group of accelerated degradation test stress to obtain a first average fault interval time of the product to be tested;
and obtaining a second average fault interval time of the product to be tested under normal stress according to the first average fault interval time and an acceleration factor corresponding to the target accelerated degradation test stress.
In one embodiment, the screening the target time-warping model from the set of predetermined time-warping models according to the accelerated degradation test data includes:
determining time folding factors of various products to be tested according to the accelerated degradation test data;
converting the time folding model in the time folding model set into a nonlinear optimization equation based on the time folding factor, evaluating model parameters of each time folding model, and determining each time folding model;
and screening out the target time folding model from the time folding models according to the time folding factors of the products to be tested.
In one embodiment, the screening the target time folding model from the time folding models according to the time folding factors of the products to be tested comprises:
according to the time folding factors of the products to be tested, performing model inspection on the time folding models to obtain model inspection results;
screening out an initial time folding model from each time folding model according to the model test result;
and screening out the target time folding model from each initial time folding model according to the time folding factors corresponding to the initial time folding models.
In a second aspect, the present application also provides an accelerated degradation testing data processing device based on a wiener process. The device comprises:
the data acquisition module is used for acquiring accelerated degradation test data of the product to be tested;
the time folding model screening module is used for screening out a target time folding model from a preset time folding model set according to the accelerated degradation test data;
the product reliability function determining module is used for constructing a nonlinear wiener process based on the target time folding model and determining a product reliability function of a product to be detected;
and the product reliability testing module is used for testing the reliability of the product to be tested according to the product reliability function to obtain a product reliability testing result of the product to be tested.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring accelerated degradation test data of a product to be tested;
screening a target time folding model from a preset time folding model set according to the accelerated degradation test data;
based on a target time folding model, constructing a nonlinear wiener degradation process, and determining a product reliability function of a product to be detected;
and testing the reliability of the product to be tested according to the product reliability function to obtain a product reliability test result of the product to be tested.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring accelerated degradation test data of a product to be tested;
screening a target time folding model from a preset time folding model set according to the accelerated degradation test data;
based on a target time folding model, constructing a nonlinear wiener degradation process, and determining a product reliability function of a product to be detected;
and testing the reliability of the product to be tested according to the product reliability function to obtain a product reliability test result of the product to be tested.
According to the method, the device, the computer equipment and the storage medium for processing the accelerated degradation test data based on the wiener process, the accelerated degradation test data of the product to be tested is obtained, a target time folding model is screened out from a preset time folding model set according to the accelerated degradation test data, then a nonlinear wiener process is constructed based on the target time folding model, a product reliability function of the product to be tested is determined, and finally the reliability of the product to be tested is tested according to the product reliability function, so that a product reliability test result of the product to be tested is obtained. According to the scheme, in the first aspect, the fact that performance degradation time possibly obeys other time folding models is considered, namely model preference is unfolded in a time folding model set, and a target time folding model is screened out, so that effective support can be provided for accurate test result product reliability; in the second aspect, a nonlinear wiener process is constructed based on the screened target time folding model, so that nonlinearity of performance degradation is considered, and the method is more comprehensive; in the third aspect, based on a nonlinear wiener process, a product reliability function is determined, and by using the product reliability function, accurate testing of the reliability of a product to be tested can be realized. In summary, by adopting the scheme, accurate product reliability test can be realized.
Drawings
FIG. 1 is a diagram of an application environment for a method of accelerated degradation testing data processing based on a wiener process in one embodiment;
FIG. 2 is a flow diagram of a method for accelerated degradation testing data processing based on a wiener process in one embodiment;
FIG. 3 is a flow chart illustrating the steps of determining a product reliability function for a product under test in one embodiment;
FIG. 4 is a flow chart of a method for processing accelerated degradation testing data based on a wiener process in another embodiment;
FIG. 5 is a block diagram of an accelerated degradation testing data processing device based on a wiener process in one embodiment;
fig. 6 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The method for processing the accelerated degradation test data based on the wiener process, which is provided by the embodiment of the application, can be applied to an application environment shown in figure 1. Wherein the user terminal 102 communicates with the server 104 via a network. Specifically, an experimenter uploads accelerated degradation test data of a product to be tested to a server 104 through a terminal 102, sends a product reliability test message to the server 104, the server 104 responds to the message to obtain the accelerated degradation test data of the product to be tested, then screens out a target time folding model from a preset time folding model set according to the accelerated degradation test data, constructs a nonlinear wiener degradation process based on the target time folding model, determines a product reliability function of the product to be tested, and finally tests the reliability of the product to be tested according to the product reliability function to obtain a product reliability test result of the product to be tested. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, among others. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, there is provided a wiener process-based accelerated degradation test data processing method, which is illustrated by taking the application of the method to the server 104 in fig. 1 as an example, and includes the following steps:
step S202, acquiring accelerated degradation test data of a product to be tested.
The product to be tested can be electronic equipment or parts, such as a photovoltaic assembly or a radar assembly. The accelerated degradation test data comprise accelerated degradation test stress, accelerated degradation test temperature, performance detection times, test time, performance degradation value detected each time, product quantity and the like.
Step S204, screening out a target time folding model from a preset time folding model set according to the accelerated degradation test data.
The target time folding model is the optimal time folding model. In other words, the model that most accurately characterizes the law of performance degradation over time. All time folding models can be converted into linear expressions through certain transformation. The time-folded model set includes a plurality of pre-built linearization models of product performance degradation over time. Specifically, the time-reduced model set may include a power function model, a power multiplication function model, an exponential function model, a hybrid model, and the like. In this example, the time-reduced model of product performance degradation under acceleration stress is shown in Table 1 below:
TABLE 1 time-folded model for product performance degradation
In the method, in the process of the invention,
the time folding function of the product is obtained, t is the test time, and a and b are unknown parameters.
In the implementation, the target time folding model can be selected from a preset time folding model set according to the time folding factor of the product to be detected. Wherein the linear coefficients may describe a linear fit of the performance degradation over time.
Step S206, based on the target time folding model, constructing a nonlinear wiener process, and determining a product reliability function of the product to be tested.
The product reliability function is used for rapidly evaluating the product reliability of the product to be tested under normal conditions. Specifically, an acceleration test may be performed on the product to be tested to rapidly evaluate the reliability of the product. The acceleration test refers to that under the premise of ensuring that the failure mechanism of the product is not changed, the tested product is accelerated to fail through the reinforcement test condition so as to obtain necessary information in a short time, and the reliability or life index of the product under normal conditions is evaluated. The sets of accelerated degradation testing stresses may be sets of different temperature stresses. After the target time folding model is screened out, nonlinear wiener process analysis can be carried out based on the target time folding model, parameters of the nonlinear wiener process are estimated, and a product reliability function of a product to be detected is determined.
And step S208, testing the reliability of the product to be tested according to the product reliability function to obtain a product reliability test result of the product to be tested.
After the product reliability function is obtained, the reliability of the product to be tested can be tested according to the accelerated degradation test data under different accelerated degradation test conditions according to the product reliability function, and a product reliability test result of the product to be tested is obtained. In this embodiment, the product reliability test result includes a test result of the product to be tested under normal test stress. In the implementation, the failure probability or average fault interval time of the product to be tested under normal stress can be evaluated according to the product reliability acceleration model so as to obtain a product reliability test result.
In the above method for processing accelerated degradation test data based on wiener process, the accelerated degradation test data of the product to be tested is obtained, the target time folding model is selected from the preset time folding model set according to the accelerated degradation test data, then the nonlinear wiener process is constructed based on the target time folding model, the product reliability function of the product to be tested is determined, and finally the reliability of the product to be tested is tested according to the product reliability function, so as to obtain the product reliability test result of the product to be tested. According to the scheme, in the first aspect, the fact that performance degradation time possibly obeys other time folding models is considered, namely model preference is unfolded in a time folding model set, and a target time folding model is screened out, so that effective support can be provided for accurate test result product reliability; in the second aspect, a nonlinear wiener process is constructed based on the screened target time folding model, and nonlinearity of performance degradation is considered; in the third aspect, based on a nonlinear wiener process, a product reliability function is determined, and by using the product reliability function, accurate testing of the reliability of a product to be tested can be realized. In summary, by adopting the scheme, accurate product reliability test can be realized.
As shown in fig. 3, in one embodiment, step S206 includes:
step S226, constructing an initial nonlinear wiener process based on the target time folding model.
Step S246, constructing an initial product reliability function based on the initial nonlinear wiener process.
Step S266, the nonlinear wiener process parameters in the initial product reliability function are evaluated, and the product reliability function of the product to be tested is determined.
In the specific implementation, the nonlinear wiener process can be obtained on the basis of considering the nonlinearity of performance degradation, uncertainty of degradation amount and product degradation difference, and comprises the following steps:
in the method, in the process of the invention,
for the performance degradation value of the product at time t, < >>
And->
The drift parameter and the diffusion parameter are respectively defined,
for Brownian drift function, +.>
Obeying mean->
Sum of variances->
Is a normal distribution of (c).
Further, based on the nonlinear wiener process, an initial product reliability function of the product to be detected is constructed through test data analysis
：
Wherein D is a failure threshold for product performance degradation.
After the product reliability function is constructed, parameters of the nonlinear wiener process are obtained at the moment
Is an unknown parameter. Parameters of the nonlinear wiener process can be further estimated to obtain a final product reliability function according to the estimated parameters of the nonlinear wiener process. In the embodiment, a nonlinear wiener process is constructed through a target time folding model, and a product reliability function can be quickly constructed and determined further based on the nonlinear wiener process.
In one embodiment, step S266 includes: obtaining a failure probability density function of a product to be detected according to the initial product reliability function, determining nonlinear wiener process parameters in the initial product reliability function according to a pre-constructed maximum likelihood function of performance degradation, the product reliability function and the failure probability density function, and determining the product reliability function of the product to be detected.
In this embodiment, after the initial product reliability function is constructed, the nonlinear wiener process parameters can be solved by using a maximum likelihood estimation method. Specifically, a maximum likelihood function of product performance degradation can be pre-constructed, and is obtained from an initial product reliability function, and a failure probability density function of the product
The method comprises the following steps:
the product is
The maximum likelihood function of (2) is:
respectively to
Obtaining the deviation guide
Obtaining nonlinear wiener process parameters by solving the equation set
. Determining a nonlinear wiener process parameter>
After that, the product reliability function can be further determined>
. In this embodiment, the nonlinear wiener process parameters can be rapidly solved by a maximum likelihood method.
As shown in FIG. 4, in one embodiment, the product reliability test results include a first average time-to-failure and a second average time-to-failure, and the accelerated degradation test data includes a plurality of sets of accelerated degradation test stresses;
step S208 includes: and step S228, testing the reliability of the product to be tested under each group of accelerated degradation test stress according to the product reliability function, obtaining a first average fault interval time of the product to be tested, and obtaining a second average fault interval time of the product to be tested under normal stress according to the first average fault interval time and an acceleration factor corresponding to the target accelerated degradation test stress.
The target acceleration test stress is the acceleration test stress appointed by the tester. In practical applications, the product reliability test may be determined based on the acceleration factor actually used. In particular, the acceleration factor includes higher frequency power cycles, higher vibration levels, high humidity, high temperature, and the like. In this embodiment, the reliability test results include an average failure interval time and a product failure probability. An average time between failures (Mean Time Between Failure, MTBF for short) identifies an average from when a new product begins to operate under specified operating environment conditions to when the first failure occurs. The longer the MTBF, the higher the reliability and the more functional correctly. The unit of MTBF is "hours". The method reflects the time quality of the product and is an ability of showing the function of the product maintained in a specified time. In this embodiment, the product reliability test for the product to be tested includes a reliability test under the stress of the accelerated degradation test and a reliability test under the normal stress. Specifically, it may include:
a) Evaluating product reliability of product to be tested under stress of accelerated degradation test
Failure probability density function of product under acceleration stress
The method comprises the following steps:
the first mean time between failure MTBF of the product under acceleration stress is:
b) Evaluation of reliability of product under normal stress
Failure probability function of product under normal stress
The method comprises the following steps:
wherein A is an acceleration factor of the product under the stress of the target acceleration test.
Under normal stressSecond average time to failure of product
The method comprises the following steps:
in the embodiment, a new product reliability test scheme is provided, and the reliability of the product is tested by mixing the acceleration factor and the average fault interval time, namely the average fault interval time.
As shown in fig. 4, in one embodiment, step S204 includes: step S224, determining time folding factors of the products to be tested according to the accelerated degradation test data, converting the time folding models in the time folding model set into nonlinear optimization equations based on the time folding factors, evaluating model parameters of the time folding models, determining the time folding models, and screening target time folding models from the time folding models according to the time folding factors of the products to be tested.
The time warping factor (hereinafter warping factor) may describe the linear fit of the product performance degradation over time. In this embodiment, the target time-warping model may be screened by determining a warping factor for product performance degradation based on accelerated degradation test data. For example, assuming that the total number of products in the accelerated degradation test is m, n tests are performed, and the jth performance degradation data of the ith product is
，/>
，/>
The ith product property degradation reduction factor +.>
The method comprises the following steps:
in the method, in the process of the invention,
is->
Time folding value corresponding to time of day,/->
For the ith product->
Average value of (2); />
Is the average value of the ith product y.
Thus, the solution of parameters a and b translates into a constrained nonlinear optimization equation:
and obtaining parameters a and b of the time folding model by solving the equation, and further determining the time folding model.
Taking model 5 in table 1 as an example, the nonlinear optimization equation is:
by solving this equation, parameters a and b of the model 5 are obtained, and the model 5 is determined.
After the time folding models are determined in the mode, the time folding models can be checked according to the folding factors so as to screen out target time folding models from the time folding models. In this embodiment, the time folding factor is used as a basis, so that the time folding model can be quickly and simply determined, and the optimal target time folding model can be selected from a plurality of time folding models.
In one embodiment, the screening the target time folding model from the initial time folding models according to the time folding factors of the products to be tested includes: according to the time folding factors of the products to be tested, performing model inspection on the time folding models to obtain model inspection results, and screening out initial time folding models from the time folding models according to the model inspection results. And screening out the target time folding model from each initial time folding model according to the time folding factors corresponding to the initial time folding models.
In this embodiment, the model may be checked using a folding factor. In the specific implementation, if a certain time is reduced by the absolute value of the corresponding reduced factor of the model
The model is checked to determine the folding factor +.>
If it meets
The model does not pass the test. />
For the reduced factor checking threshold, the calculation formula is as follows:
in the method, in the process of the invention,
for the level of significance of the check, +.>
Is a significance level->
And the degree of freedom is->
T distribution function values of (a). By the method, the initial time folding model can be screened from the time folding models. Then, the target time folding model can be screened out from the initial time folding model by adopting the folding factors corresponding to the initial time folding models. Specifically, the sum of the folding factors is +.>
The larger the characterization model is, the better the characterization model is, and the time folding model with the largest sum of folding factors is determined as the target time folding model for accelerating the performance degradation of the test. In the embodiment, the model is checked by the folding factors, and the model is optimized by the folding factors, so that the objectivity and rationality of the target time folding model can be fully ensured, and the accuracy of the time folding model is improved.
In order to make a clearer description of the wiener process-based accelerated degradation test data processing method provided by the application, the following description is made with reference to a specific embodiment:
the total of 10 products are subjected to accelerated degradation tests under high-temperature stress at 80 ℃, and the accelerated degradation test data of the products are shown in table 2.
TABLE 2 accelerated degradation test data
a) Time-folded model analysis
And carrying out parameter estimation and model check and model selection on the time folding model.
Taking the model 5 as an example, firstly, parameter estimation is carried out, and a nonlinear optimization equation is solved:
obtaining model parameters a and b as 1.08 and 1.78 respectively, and then the time-folding model is as follows:
then, model verification is performed. The fold factor for product performance degradation is shown in the following table, model 5 is checked by the model. The same method was used to conduct the analysis for model 1, model 2, model 3 and model 4, all of which passed the verification.
TABLE 3 verification of time folding model
And finally, performing model selection. Sum of folding factors of each time folding model
As shown in table 4 below. The sum of the folding factors of the model 5 is the largest, so the model 5 is a time-folded model that is optimal for the product.
Therefore, the time-folded model of the product is:
b) Nonlinear wiener process analysis
The nonlinear wiener process of the product is as follows:
the product reliability function of the product is:
solving by adopting a maximum likelihood function to obtain nonlinear wiener process parameters of the product
。
c) Reliability test
The mean time between failure MTBF of the product under acceleration stress is:
the acceleration factor of the product under the high temperature acceleration stress of 80 ℃ is 9.6, so that the average fault interval time of the product under normal stress
The method comprises the following steps:
d) Analysis of results
The traditional nonlinear wiener process adopts a specific time-folding model (model 1) to analyze the accelerated degradation test data, and the calculated average fault interval time is 33173h. The average fault interval of the actual use of the product is 35021h. The error between the evaluation result obtained by the method and the evaluation result obtained by the traditional method is 2.77% and 5.28% respectively, so that the accuracy of the data processing method of the accelerated degradation test based on the wiener process is higher.
TABLE 4 selection of time folding models
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a wiener process-based accelerated degradation test data processing device for realizing the wiener process-based accelerated degradation test data processing method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the one or more wiener process-based accelerated degradation testing data processing device provided below may be referred to the limitation of the wiener process-based accelerated degradation testing data processing method hereinabove, and will not be described herein.
In one embodiment, as shown in fig. 5, there is provided an accelerated degradation testing data processing apparatus based on a wiener process, comprising: a data acquisition module 510, a time-folded model screening module 520, a product reliability function determination module 530, and a product reliability test module 540, wherein:
the data acquisition module 510 is configured to acquire accelerated degradation test data of a product to be tested.
The time folding model screening module 520 is configured to screen the target time folding model from the preset time folding model set according to the accelerated degradation test data.
The product reliability function determining module 530 is configured to construct a nonlinear wiener process based on the target time folding model, and determine a product reliability function of the product to be measured.
The product reliability testing module 540 is configured to test the reliability of the product to be tested according to the product reliability function, and obtain a product reliability testing result of the product to be tested.
According to the accelerated degradation test data processing device based on the wiener process, the accelerated degradation test data of the product to be tested is obtained, the target time folding model is screened out from the preset time folding model set according to the accelerated degradation test data, then the nonlinear wiener process is constructed based on the target time folding model, the product reliability function of the product to be tested is determined, and finally the reliability of the product to be tested is tested according to the product reliability function, so that the product reliability test result of the product to be tested is obtained. According to the scheme, in the first aspect, the fact that performance degradation time possibly obeys other time folding models is considered, namely model preference is unfolded in a time folding model set, and a target time folding model is screened out, so that effective support can be provided for accurate test result product reliability; in the second aspect, a nonlinear wiener process is constructed based on the screened target time folding model, so that nonlinearity of performance degradation is considered, and the method is more comprehensive; in the third aspect, based on a nonlinear wiener process, a product reliability function is determined, and by using the product reliability function, accurate testing of the reliability of a product to be tested can be realized. In summary, by adopting the scheme, accurate product reliability test can be realized.
In one embodiment, the product reliability function determining module 530 is further configured to construct an initial nonlinear wiener process based on the target time-folded model, construct an initial product reliability function based on the initial nonlinear wiener process, evaluate nonlinear wiener process parameters in the initial product reliability function, and determine a product reliability function of the product to be tested.
In one embodiment, the product reliability function determining module 530 is further configured to obtain a failure probability density function of the product to be tested according to the initial product reliability function, determine a nonlinear wiener process parameter in the initial product reliability function according to the pre-constructed maximum likelihood function of performance degradation, the product reliability function and the failure probability density function, and determine a product reliability function of the product to be tested.
In one embodiment, the product reliability testing module 540 is further configured to test the reliability of the product to be tested under each set of accelerated degradation test stresses according to a product reliability function, obtain a first average failure interval time of the product to be tested, and obtain a second average failure interval time of the product to be tested under normal stress according to the first average failure interval time and an acceleration factor corresponding to the target accelerated degradation test stress.
In one embodiment, the time-warping model screening module 520 is further configured to determine a time warping factor of each product to be tested according to the accelerated degradation test data, convert the time warping models in the set of time warping models into nonlinear optimization equations based on the time warping factor, evaluate model parameters of each time warping model, determine each time warping model, and screen out a target time warping model from each time warping model according to the time warping factor of each product to be tested.
In one embodiment, the time folding model screening module 520 is further configured to perform model inspection on each time folding model according to the time folding factor of each product to be tested, obtain a model inspection result, screen an initial time folding model from each time folding model according to the model inspection result, and screen a target time folding model from each initial time folding model according to the time folding factor corresponding to the initial time folding model.
The respective modules in the above-described wiener process-based accelerated degradation test data processing apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 6. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer equipment is used for storing data such as accelerated degradation test data and product reliability test results. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external device through a network connection. The computer program is executed by a processor to implement a method for accelerated degradation testing data processing based on a wiener process.
It will be appreciated by those skilled in the art that the structure shown in fig. 6 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, including a memory having a computer program stored therein and a processor, which when executing the computer program, implements the steps of the above-described accelerated degradation testing data processing method based on a wiener process.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, implements the steps of the above-described wiener process-based accelerated degradation testing data processing method.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the accelerated degradation testing data processing method described above based on a wiener process.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to comply with the related laws and regulations and standards of the related countries and regions.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as Static Random access memory (Static Random access memory AccessMemory, SRAM) or dynamic Random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. An accelerated degradation test data processing method based on a wiener process, which is characterized by comprising the following steps:
acquiring accelerated degradation test data of a product to be tested, wherein the accelerated degradation test data comprises a plurality of groups of accelerated degradation test stress;
determining time folding factors of the products to be detected according to the accelerated degradation test data, converting time folding models in a preset time folding model set into nonlinear optimization equations based on the time folding factors, evaluating model parameters of the time folding models, determining the time folding models, performing model inspection on the time folding models according to the time folding factors of the products to be detected and preset folding factor check critical values, and screening out target time folding models from the time folding models according to model inspection results, wherein the target time folding models are models representing the rule of performance degradation along with time;
based on the target time folding model, constructing a nonlinear wiener degradation process, and determining a product reliability function of the product to be detected;
and testing the reliability of the product to be tested according to the product reliability function to obtain a product reliability test result of the product to be tested.
2. The method of claim 1, wherein constructing a nonlinear wiener degradation process based on the target time-folded model, determining a product reliability function for the product under test comprises:
constructing an initial nonlinear wiener process based on the target time folding model;
constructing an initial product reliability function based on the initial nonlinear wiener process;
and evaluating nonlinear wiener process parameters in the initial product reliability function, and determining the product reliability function of the product to be tested.
3. The method of claim 2, wherein said evaluating a nonlinear wiener process parameter in said initial product reliability function, determining a product reliability function for said product under test comprises:
obtaining a failure probability density function of the product to be tested according to the initial product reliability function;
and evaluating nonlinear wiener process parameters in the initial product reliability function according to a pre-constructed maximum likelihood function of performance degradation, the product reliability function and the failure probability density function, and determining a product reliability function of a product to be tested.
4. A method according to any one of claims 1 to 3, wherein the product reliability test results comprise a first average time between failure and a second average time between failure, the accelerated degradation testing data comprising a plurality of sets of accelerated degradation testing stresses;
and testing the reliability of the product to be tested according to the product reliability function, wherein the obtaining the product reliability test result of the product to be tested comprises the following steps:
according to the product reliability function, testing the reliability of the product to be tested under each group of accelerated degradation test stress to obtain a first average fault interval time of the product to be tested;
and obtaining a second average fault interval time of the product to be tested under normal stress according to the first average fault time and an acceleration factor corresponding to the target accelerated degradation test stress.
5. A method according to any one of claims 1 to 3, wherein said screening out the target time-reduced model from each of said time-reduced models based on the model test results comprises:
screening out an initial time folding model from each time folding model according to the model test result;
and screening out target time folding models from the initial time folding models according to the time folding factors corresponding to the initial time folding models.
6. An accelerated degradation testing data processing device based on a wiener process, the device comprising:
the data acquisition module is used for acquiring accelerated degradation test data of a product to be tested, wherein the accelerated degradation test data comprises a plurality of groups of accelerated degradation test stress;
the time folding model screening module is used for determining the time folding factors of the products to be tested according to the accelerated degradation test data, converting the time folding models in a preset time folding model set into nonlinear optimization equations based on the time folding factors, evaluating model parameters of the time folding models, determining the time folding models, carrying out model inspection on the time folding models according to the time folding factors of the products to be tested and preset folding factor check critical values, and screening out target time folding models from the time folding models according to model inspection results, wherein the target time folding models are models representing the rule of performance degradation along with time;
the product reliability function determining module is used for constructing a nonlinear wiener process based on the target time folding model and determining a product reliability function of the product to be detected;
and the product reliability testing module is used for testing the reliability of the product to be tested according to the product reliability function to obtain a product reliability testing result of the product to be tested.
7. The apparatus of claim 6, wherein the product reliability function determination module is configured to construct an initial nonlinear wiener process based on the target time-folded model, construct an initial product reliability function based on the initial nonlinear wiener process, evaluate nonlinear wiener process parameters in the initial product reliability function, and determine a product reliability function for the product under test.
8. The apparatus of claim 7, wherein the product reliability function determining module is further configured to obtain a failure probability density function of the product to be tested according to the initial product reliability function, evaluate nonlinear wiener process parameters in the initial product reliability function according to a pre-constructed maximum likelihood function of performance degradation, the product reliability function, and the failure probability density function, and determine a product reliability function of the product to be tested.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 5.
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| CN117993220B (en) * | 2024-03-18 | 2024-07-23 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Product comprehensive test method and device integrating accelerated life and accelerated degradation |
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