CN110782157A - Maintenance mode making method based on importance of power generation equipment - Google Patents
Maintenance mode making method based on importance of power generation equipment Download PDFInfo
- Publication number
- CN110782157A CN110782157A CN201911017892.5A CN201911017892A CN110782157A CN 110782157 A CN110782157 A CN 110782157A CN 201911017892 A CN201911017892 A CN 201911017892A CN 110782157 A CN110782157 A CN 110782157A
- Authority
- CN
- China
- Prior art keywords
- equipment
- importance
- factor
- evaluation
- power generation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 73
- 238000010248 power generation Methods 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000011156 evaluation Methods 0.000 claims abstract description 42
- 238000013210 evaluation model Methods 0.000 claims abstract description 8
- 239000011159 matrix material Substances 0.000 claims description 29
- 230000007613 environmental effect Effects 0.000 claims description 10
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000004519 manufacturing process Methods 0.000 claims description 3
- 238000013178 mathematical model Methods 0.000 claims description 3
- 238000012502 risk assessment Methods 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 201000004569 Blindness Diseases 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Operations Research (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a maintenance mode making method based on the importance of power generation equipment, which comprises the following steps: determining the evaluation factor of the importance of the power generation equipment, establishing an evaluation model of the importance of the power generation equipment, and determining the maintenance mode of the equipment. The invention has the beneficial effects that: the maintenance mode of the equipment is determined based on the importance of the equipment, so that over-maintenance and overhaul failure can be avoided; the method can determine an accurate maintenance mode, effectively save maintenance resources and improve the reliability of equipment operation.
Description
Technical Field
The invention relates to the technical field of power generation equipment maintenance, in particular to a maintenance mode making method based on the importance of power generation equipment.
Background
In recent years, power generation facilities have been increased in size, automation, precision, and complexity, and the price thereof has become higher, so that the importance of maintenance and management of power generation facilities has been increased, and the proportion of maintenance cost to electric power cost has been increased. Therefore, reasonable maintenance strategies and maintenance modes are adopted, so that the safe operation of the equipment can be ensured, the downtime is reduced, the maintenance cost can be reduced, and the operation reliability of the equipment is improved.
At present, a method based on direct analysis according to wear and failure modes is frequently adopted when the maintenance mode of the power generation equipment is determined, the method is determined according to the condition that the average failure interval time of parts in the equipment is the same or not, quantitative analysis cannot be carried out, a plurality of uncertainties exist, overhauling or overhauling is easy to happen, maintenance resources are wasted, and the inherent reliability of the equipment is reduced due to an unreasonable maintenance mode. In the existing decision making idea for determining the maintenance mode, the main focus is on qualitative analysis, which is only limited to preliminary judgment of equipment and cannot accurately determine the maintenance mode.
According to the method, on the basis of determining the evaluation factors of the importance of the equipment, the maintenance mode is determined according to the analysis result of the importance of the equipment by establishing an importance evaluation model.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a maintenance mode making method based on the importance of power generation equipment, which provides a basis for the decision of a maintenance strategy of the equipment by comprehensively analyzing the factors influencing the importance of the equipment, so that a maintenance mode suitable for the characteristics of each type of equipment is adopted, and the running reliability of the equipment is improved; the maintenance mode is determined on the basis of the equipment importance evaluation, so that the maintenance blindness is reduced, and the operation and maintenance cost is reduced.
The maintenance mode making method based on the importance of the power generation equipment is realized by the following technical scheme:
a maintenance mode making method based on the importance of power generation equipment comprises the following steps: determining the evaluation factor of the importance of the power generation equipment, establishing an evaluation model of the importance of the power generation equipment, and determining the maintenance mode of the equipment, wherein,
determination of evaluation factors of importance of power generation equipment:
for power generation equipment, the main factors related to the importance of the equipment are defined: safety impact, environmental impact, down time, maintenance cost, failure frequency and identifiability; in the analysis of various factors, considering that the evaluation of the importance of the equipment is not too complex and the evaluation accuracy is considered, dividing each influence factor into 3-6 grades according to the basic information of the equipment in a power plant CMMS (equipment maintenance management system), and converting each factor into a value between 0 and 100 according to the influence degree of equipment faults;
establishing an importance evaluation model of the power generation equipment:
A. determination of evaluation index
On the basis of determining each evaluation factor, calculating the evaluation index of the importance of the equipment by adopting a linear weighted mathematical model
Wherein n represents the number of influencing factors, and is 6 in the model; m is
iScores representing the ith influencing factor for a certain evaluated device, given by the criteria of risk assessment α
iThe weight of the ith influence factor is expressed, namely, the importance of the influence factors such as safety influence, environmental influence, production loss, maintenance cost, fault frequency, identifiability and the like is assigned;
B. method for determining evaluation weight
Comparing the six factors of safety influence, environmental influence, outage time, maintenance cost, fault frequency and identifiability in pairs to construct a comparison matrix in pairs,
wherein u is
ijRepresents the relative importance of the ith evaluation factor to the jth evaluation factor, u
jiThe relative importance of the jth evaluation factor to the ith evaluation factor is shown, and the value is u
ijThe reciprocal of (c).
C. Computing importance rankings
Calculating the maximum characteristic root lambda of the judgment matrix D
maxIs substituted into a homogeneous linear equation set
To give out w
1，w
2，…，w
nTo obtain the maximum characteristic root lambda
maxCorresponding feature vector
W＝(w
1,w
2,…,w
n)
I.e. the weight of each factor. Thus, qualitative factors are quantified, and the priority of each factor is sorted according to the weight,
finally, the consistency test was performed as follows
CR＝CI/RI
Wherein CR is referred to as the random consistency ratio of the judgment matrix; CI is a general consistency index of the decision matrix, and its value CI ═ λ
max-n)/(n-1); RI is called the average random consistency index of the judgment matrix;
when CR is less than 0.1, the judgment matrix is considered to have satisfactory consistency, and the weight distribution is reasonable; otherwise, the judgment matrix needs to be adjusted until satisfactory consistency is obtained;
determining the equipment maintenance mode:
according to the analysis result of the importance degree, the power station equipment is divided into three groups, and the corresponding maintenance modes of the equipment are respectively given as follows:
if I
index<50, adopting a post-repair mode;
if 50<I
index<100, adopting a regular maintenance mode;
if I
index>100, adopting a state maintenance mode.
Taking a certain device of a certain power plant as an example, determining a maintenance mode based on importance, and scoring each evaluation factor of each device according to a scoring standard according to the operation and maintenance history of each device and a relevant reliability database;
obtaining a judgment matrix of each factor weight through discussion with field operation and maintainers;
the feature vector W of the above matrix is obtained as (0.082,0.062,0.185,0.331,0.134,0.206),
finding a characteristic root λ
maxThe consistency index CI is 0.053, RI is 1.24, and CR is 0.043, 6.265<0.1, passing the consistency check;
at this time, I can be obtained
indexWhen the service life is 30.93, a post-repair mode can be adopted.
The invention has the beneficial effects that:
1. the maintenance mode of the equipment is determined based on the importance of the equipment, so that over-maintenance and overhaul failure can be avoided;
2. the method can determine an accurate maintenance mode, effectively save maintenance resources and improve the reliability of equipment operation.
Drawings
FIG. 1 is a table of the main factors and scoring criteria of the present invention;
FIG. 2 is a relative importance value reference scale table;
FIG. 3 is the RI value of the order decision matrix;
FIG. 4 is a graph of scoring criteria corresponding to operational and maintenance histories for each device and an associated reliability database.
Detailed Description
The technical solutions of the present invention will be described clearly and completely by the following embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
A maintenance mode making method based on the importance of power generation equipment comprises the following steps: determining the evaluation factor of the importance of the power generation equipment, establishing an evaluation model of the importance of the power generation equipment, and determining the maintenance mode of the equipment, wherein,
determination of evaluation factors of importance of power generation equipment:
for power generation equipment, the main factors related to the importance of the equipment are defined: safety impact, environmental impact, down time, maintenance cost, failure frequency and identifiability; in analyzing various factors, considering that the evaluation of the importance of the equipment is not too complex and the evaluation accuracy is considered, as shown in fig. 1, dividing each influence factor into 3-6 grades according to basic information of the equipment in a power plant CMMS (equipment maintenance management system), and converting each factor into a value between 0 and 100 according to the influence degree of equipment failure;
establishing an importance evaluation model of the power generation equipment:
A. determination of evaluation index
On the basis of determining each evaluation factor, calculating the evaluation index of the importance of the equipment by adopting a linear weighted mathematical model
Wherein n represents the number of influencing factors, and is 6 in the model; m is
iScores representing the ith influencing factor for a certain evaluated device, given by the criteria of risk assessment α
iWeight representing the ith influencing factor, i.e. for securityThe importance of influence factors such as influence, environmental influence, production loss, maintenance cost, fault frequency, identifiability and the like is assigned;
B. method for determining evaluation weight
Comparing the six factors of safety influence, environmental influence, outage time, maintenance cost, fault frequency and identifiability in pairs to construct a comparison matrix in pairs,
wherein u is
ijRepresents the relative importance of the ith evaluation factor to the jth evaluation factor, u
jiThe relative importance of the jth evaluation factor to the ith evaluation factor is shown, and the value is u
ijThe reciprocal of (c). The scale of the relative importance value reference scale is shown in fig. 2.
C. Computing importance rankings
Calculating the maximum characteristic root lambda of the judgment matrix D
maxIs substituted into a homogeneous linear equation set
To give out w
1，w
2，…，w
nTo obtain the maximum characteristic root lambda
maxCorresponding feature vector
W＝(w
1,w
2,…,w
n)
I.e. the weight of each factor. Thus, qualitative factors are quantified, and the priority of each factor is sorted according to the weight,
finally, the consistency test was performed as follows
CR＝CI/RI
Wherein CR is referred to as the random consistency ratio of the judgment matrix; CI is a general consistency index of the decision matrix, and its value CI ═ λ
max-n)/(n-1); RI is called the average random consistency index of the judgment matrix, and for the judgment matrix of 1-9 orders, the value of RI is shown in FIG. 3.
When CR is less than 0.1, the judgment matrix is considered to have satisfactory consistency, and the weight distribution is reasonable; otherwise, the judgment matrix needs to be adjusted until satisfactory consistency is obtained;
determining the equipment maintenance mode:
according to the analysis result of the importance degree, the power station equipment is divided into three groups, and the corresponding maintenance modes of the equipment are respectively given as follows:
if I
index<50, adopting a post-repair mode;
if 50<I
index<100, adopting a regular maintenance mode;
if I
index>100, adopting a state maintenance mode.
Example 2
Taking a certain device of a certain power plant as an example, determining a maintenance mode based on importance, scoring each evaluation factor of each device according to a scoring standard according to the operation and maintenance history of each device and a related reliability database, wherein the scoring standard is shown in figure 4,
obtaining a judgment matrix of each factor weight through discussion with field operation and maintainers;
the feature vector W of the above matrix is obtained as (0.082,0.062,0.185,0.331,0.134,0.206),
finding a characteristic root λ
maxThe consistency index CI is 0.053, RI is 1.24, and CR is 0.043, 6.265<0.1, passing the consistency check;
at this time, I can be obtained
indexWhen the service life is 30.93, a post-repair mode can be adopted.
The above examples are merely illustrative of embodiments of the present invention, which are described in more detail and detail, and should not be construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (4)
1. A maintenance mode making method based on the importance of power generation equipment is characterized by comprising the following steps: determining the evaluation factor of the importance of the power generation equipment, establishing an evaluation model of the importance of the power generation equipment, and determining the maintenance mode of the equipment, wherein,
determination of evaluation factors of importance of power generation equipment:
for power generation equipment, the main factors related to the importance of the equipment are defined: safety impact, environmental impact, down time, maintenance cost, failure frequency and identifiability; in the analysis of various factors, considering that the evaluation of the importance of the equipment is not too complex and the evaluation accuracy is considered, dividing each influencing factor into a plurality of grades according to the basic information of the equipment in the CMMS (equipment maintenance management system) of the power plant, and converting each factor into a score according to the influence degree of the equipment fault;
establishing an importance evaluation model of the power generation equipment:
A. determination of evaluation index
On the basis of determining each evaluation factor, calculating the evaluation index of the importance of the equipment by adopting a linear weighted mathematical model
Wherein n represents the number of influencing factors; m is
iScores representing the ith influencing factor for a certain evaluated device, given by the criteria of risk assessment α
iThe weight of the ith influence factor is expressed, namely, the importance of the influence factors such as safety influence, environmental influence, production loss, maintenance cost, fault frequency, identifiability and the like is assigned;
B. method for determining evaluation weight
Comparing the six factors of safety influence, environmental influence, outage time, maintenance cost, fault frequency and identifiability in pairs to construct a comparison matrix in pairs,
wherein u is
ijRepresents the relative importance of the ith evaluation factor to the jth evaluation factor, u
jiThe relative importance of the jth evaluation factor to the ith evaluation factor is shown, and the value is u
ijThe reciprocal of (c).
C. Computing importance rankings
Calculating the maximum characteristic root lambda of the judgment matrix D
maxIs substituted into a homogeneous linear equation set
To give out w
1，w
2，…，w
nTo obtain the maximum characteristic root lambda
maxCorresponding feature vector
W＝(w
1,w
2,…,w
n)
I.e. the weight of each factor. Thus, qualitative factors are quantified, and the priority of each factor is sorted according to the weight,
finally, the consistency test was performed as follows
CR＝CI/RI
Wherein CR is referred to as the random consistency ratio of the judgment matrix; CI is a general consistency index of the decision matrix, and its value CI ═ λ
max-n)/(n-1); RI is called the average random consistency index of the judgment matrix;
when CR is less than 0.1, the judgment matrix is considered to have satisfactory consistency, and the weight distribution is reasonable; otherwise, the judgment matrix needs to be adjusted until satisfactory consistency is obtained;
determining the equipment maintenance mode:
according to the analysis result of the importance degree, the power station equipment is divided into three groups, and the corresponding maintenance modes of the equipment are respectively given as follows:
if I
index<50, adopting a post-repair mode;
if 50<I
index<100, adopting a regular maintenance mode;
if I
index>100, adopting a state maintenance mode.
2. The method for establishing the maintenance mode based on the importance of the power generation equipment according to claim 1, wherein each influence factor is classified into 3-6 grades according to basic information of equipment in a CMMS (equipment maintenance management system) of a power plant, and each factor is converted into a value between 0 and 100 grades according to the influence degree of equipment failure.
3. The method for establishing the maintenance mode based on the importance of the power generation equipment is characterized in that the number n of the influence factors in the model is 6, and the influence factors comprise safety influence, environmental influence, outage time, fault cost, fault frequency and identifiability.
4. The method for establishing a maintenance mode based on the importance of power generation equipment according to claim 1, wherein the maintenance mode is determined based on the importance by taking a certain equipment of a certain power plant as an example, and each evaluation factor of each equipment is scored according to a scoring standard according to the operation and maintenance history of each equipment and a related reliability database;
through the discussion with the field operation and the maintainer, the judgment matrix of the weight of each factor is obtained,
the feature vector W of the above matrix is obtained as (0.082,0.062,0.185,0.331,0.134,0.206),
finding a characteristic root λ
maxThe consistency index CI is 0.053, RI is 1.24, and CR is 0.043, 6.265<0.1, passing the consistency check;
at this time, I can be obtained
indexWhen the service life is 30.93, a post-repair mode can be adopted.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911017892.5A CN110782157A (en) | 2019-10-24 | 2019-10-24 | Maintenance mode making method based on importance of power generation equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911017892.5A CN110782157A (en) | 2019-10-24 | 2019-10-24 | Maintenance mode making method based on importance of power generation equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110782157A true CN110782157A (en) | 2020-02-11 |
Family
ID=69387594
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911017892.5A Pending CN110782157A (en) | 2019-10-24 | 2019-10-24 | Maintenance mode making method based on importance of power generation equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110782157A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111584054A (en) * | 2020-05-11 | 2020-08-25 | 南京天溯自动化控制系统有限公司 | Screening method for equipment maintenance priority based on multiple factors |
| CN112886038A (en) * | 2020-12-23 | 2021-06-01 | 北京工业大学 | Fuel cell fault diagnosis method |
| CN113325308A (en) * | 2021-04-13 | 2021-08-31 | 北京中大科慧科技发展有限公司 | Power supply fault detection method for data center |
| CN113516400A (en) * | 2021-07-26 | 2021-10-19 | 华能威海发电有限责任公司 | Equipment management method and system |
| CN115271128A (en) * | 2022-09-29 | 2022-11-01 | 海油来博(天津)科技股份有限公司 | Full-stage refined operation and maintenance monitoring management method and system for while-drilling equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106600095A (en) * | 2016-07-27 | 2017-04-26 | 中国特种设备检测研究院 | Reliability-based maintenance evaluation method |
| CN106991538A (en) * | 2017-04-11 | 2017-07-28 | 华北电力大学（保定） | A kind of method for maintaining and device evaluated based on Wind turbines Degrees of Importance of Components |
| WO2018053935A1 (en) * | 2016-09-20 | 2018-03-29 | 西南石油大学 | Failure mode occurrence probability based operating status fuzzy evaluation and prediction method for rotating device |
| CN108510138A (en) * | 2017-03-27 | 2018-09-07 | 上海智容睿盛智能科技有限公司 | A kind of building facilities device management control method based on analytic hierarchy process (AHP) |
-
2019
- 2019-10-24 CN CN201911017892.5A patent/CN110782157A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106600095A (en) * | 2016-07-27 | 2017-04-26 | 中国特种设备检测研究院 | Reliability-based maintenance evaluation method |
| WO2018053935A1 (en) * | 2016-09-20 | 2018-03-29 | 西南石油大学 | Failure mode occurrence probability based operating status fuzzy evaluation and prediction method for rotating device |
| CN108510138A (en) * | 2017-03-27 | 2018-09-07 | 上海智容睿盛智能科技有限公司 | A kind of building facilities device management control method based on analytic hierarchy process (AHP) |
| CN106991538A (en) * | 2017-04-11 | 2017-07-28 | 华北电力大学（保定） | A kind of method for maintaining and device evaluated based on Wind turbines Degrees of Importance of Components |
Non-Patent Citations (1)
| Title |
|---|
| 牛清娜: "基于层次分析法的机械设备维修决策分析" * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111584054A (en) * | 2020-05-11 | 2020-08-25 | 南京天溯自动化控制系统有限公司 | Screening method for equipment maintenance priority based on multiple factors |
| CN112886038A (en) * | 2020-12-23 | 2021-06-01 | 北京工业大学 | Fuel cell fault diagnosis method |
| CN112886038B (en) * | 2020-12-23 | 2022-07-05 | 北京工业大学 | Fuel cell fault diagnosis method |
| CN113325308A (en) * | 2021-04-13 | 2021-08-31 | 北京中大科慧科技发展有限公司 | Power supply fault detection method for data center |
| CN113325308B (en) * | 2021-04-13 | 2023-02-17 | 北京中大科慧科技发展有限公司 | Power supply fault detection method for data center |
| CN113516400A (en) * | 2021-07-26 | 2021-10-19 | 华能威海发电有限责任公司 | Equipment management method and system |
| CN115271128A (en) * | 2022-09-29 | 2022-11-01 | 海油来博(天津)科技股份有限公司 | Full-stage refined operation and maintenance monitoring management method and system for while-drilling equipment |
| CN115271128B (en) * | 2022-09-29 | 2023-01-06 | 海油来博(天津)科技股份有限公司 | Full-stage refined operation and maintenance monitoring management method and system for while-drilling equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110782157A (en) | Maintenance mode making method based on importance of power generation equipment | |
| CN105117602B (en) | A kind of metering device running status method for early warning | |
| CN109801002A (en) | O&M overhauls the transformer supplier comprehensive performance evaluation method under visual angle | |
| CN106447205A (en) | Method for evaluating state of distribution automation terminal based on analytic hierarchy process | |
| CN104952000A (en) | Wind turbine operating state fuzzy synthetic evaluation method based on Markov chain | |
| CN107274067B (en) | Distribution transformer overload risk assessment method | |
| CN106779317A (en) | A kind of grid equipment method for evaluating quality | |
| CN112785060A (en) | Lean operation and maintenance level optimization method for power distribution network | |
| CN110705859A (en) | PCA-self-organizing neural network-based method for evaluating running state of medium and low voltage distribution network | |
| CN108876114A (en) | Consider the power grid efficiency benefit appraisal procedure of new energy access | |
| CN111861234A (en) | Method for evaluating comprehensive service capability of electric energy meter supplier | |
| CN112348272A (en) | Power grid investment allocation decision method and system based on comprehensive evaluation of power distribution network | |
| CN114118588A (en) | Peak-facing summer power failure prediction method based on game feature extraction under clustering undersampling | |
| CN112417627A (en) | Power distribution network operation reliability analysis method based on four-dimensional index system | |
| CN115545514A (en) | Health degree evaluation-based differentiated operation and maintenance method and device for power distribution fusion equipment | |
| CN108171397A (en) | A kind of distribution secondary device state methods of risk assessment | |
| CN116739399A (en) | High-voltage cable running state evaluation method | |
| DOMNIKOV et al. | Diagnostics of competitiveness of power-generating companies | |
| CN117391357B (en) | Scheduling self-checking system for power grid scheduling operation management based on big data | |
| CN110674951A (en) | State maintenance method of distribution automation terminal | |
| CN105931133A (en) | Distribution transformer replacement priority evaluation method and device | |
| CN111105168A (en) | Load model goodness-of-fit evaluation method based on cloud matter element theory | |
| CN113077145B (en) | Multi-dimensional meteorological environment chatter shedding risk assessment method for high-speed rail-crossing power transmission line | |
| CN113592362A (en) | Urban power grid anti-disaster capability assessment method and related device | |
| CN116151799A (en) | BP neural network-based distribution line multi-working-condition fault rate rapid assessment method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200211 |