CN112115618A - Power equipment fault diagnosis method and system based on matrix chart and confidence - Google Patents
Power equipment fault diagnosis method and system based on matrix chart and confidence Download PDFInfo
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Abstract
The invention provides a power equipment fault diagnosis method based on a matrix diagram and confidence, which comprises the following steps: acquiring operation data of the power equipment sent by the terminal equipment; screening out abnormal electric equipment based on the operation data of the electric equipment; establishing a weight relation based on fault generation factors of abnormal power equipment, establishing a fault matrix diagram based on the weight relation, and calculating the fault occurrence probability of the abnormal power equipment through the fault matrix diagram; calculating fault confidence intervals based on the fault occurrence probability, and realizing different fault alarm prompts based on different fault confidence intervals; and constructing a diagnosis module, and performing fault diagnosis through the diagnosis module while prompting fault alarm.
Description
Technical Field
The invention relates to the technical field of fault detection and early warning of power equipment, in particular to a power equipment fault diagnosis method and system based on a matrix diagram and confidence.
Background
After the equipment fails (including serious defects and abnormalities), a reasonable fault diagnosis method (inspection, test and analysis) is usually applied to the fault diagnosis of the equipment, the fault property of the equipment in the system is analyzed, the reason and the position of the equipment are identified, corresponding treatment measures are provided, and along with the continuous construction and development of a power grid, a large number of power equipment are increased, the fault of the important equipment is predicted, the diagnosis and analysis of possible faults are realized, and the method is the guarantee of the safe operation of the power grid and is the development trend of an intelligent power grid.
In the existing state monitoring and state maintenance system, fault diagnosis of equipment is mainly based on fault tree analysis and assisted by special analysis (such as gas analysis in oil), aiming at possible fault phenomena, a diagnosis module is used by combining with an expert knowledge base to trace all possible reasons by pushing down layer by layer, so that fault reasons and fault treatment measures which possibly cause equipment faults are found out, and operation inspection reference bases are provided for professionals.
Disclosure of Invention
The present invention provides a method and a system for diagnosing a fault of an electrical device based on a matrix diagram and confidence, so as to solve the problems in the background art.
The invention is realized by the following technical scheme: the invention discloses a power equipment fault diagnosis method based on a matrix diagram and confidence, which comprises the following steps:
acquiring operation data of the power equipment sent by the terminal equipment;
screening out abnormal electric equipment based on the operation data of the electric equipment;
establishing a weight relation based on fault generation factors of abnormal power equipment, establishing a fault matrix diagram based on the weight relation, and calculating the fault occurrence probability of the abnormal power equipment through the fault matrix diagram;
calculating fault confidence intervals based on the fault occurrence probability, and realizing different fault alarm prompts based on different fault confidence intervals;
and constructing a diagnosis module, and performing fault diagnosis through the diagnosis module while prompting fault alarm.
Preferably, the acquiring the operation data of the power equipment sent by the terminal equipment includes: and carrying out validity check on the operation data.
Preferably, the screening out abnormal power equipment includes:
establishing an evaluation index system and an evaluation standard, and setting a health standard of the power equipment based on the evaluation index system and the evaluation standard;
and screening out abnormal electric equipment based on the operation data and the electric equipment health standard.
Preferably, the establishing of the weight relationship based on the fault generation factor of the abnormal power equipment and the establishing of the fault matrix map based on the weight relationship include:
determining theoretical faults of abnormal power equipment based on an expert scoring method, determining state quantities influencing the theoretical faults, and determining influence weights of the state quantities on the theoretical faults;
and establishing a matrix diagram based on the state quantity and the influence weight.
Preferably, the calculating the fault occurrence probability of the abnormal power equipment by the fault matrix map includes:
calculating the fault occurrence probability of the abnormal power equipment by the following formula:
wherein P isiIs the percentage of probability that the ith fault may occur, aijDetermination of the current fault for the jth state quantity associated with the ith fault, xijAnd determining weight of j state quantity related to the ith fault, wherein n is the total number of the state quantity related to the ith fault.
The invention discloses a power equipment fault diagnosis system based on a matrix diagram and confidence, which comprises:
the operation data acquisition module is used for acquiring operation data of the power equipment;
the state evaluation module is used for screening out abnormal electric equipment according to the operation data;
the matrix map calculation module is used for calculating the fault occurrence probability of the abnormal power equipment by a matrix map method;
the confidence alarm module is used for constructing confidence intervals according to the fault occurrence probability and realizing different fault alarm prompts according to different fault confidence intervals;
and the diagnosis module analyzes possible fault reasons according to the fault condition of the abnormal power system and provides a solution.
Compared with the prior art, the invention has the following beneficial effects:
according to the method and the system for diagnosing the fault of the power equipment based on the matrix diagram and the confidence coefficient, the operation data of each power equipment is obtained in real time, an analysis system of the power equipment is established, and the operation data of the power equipment is analyzed based on the analysis system, so that abnormal power equipment is screened out; and then, the probability of the fault of the abnormal power equipment is calculated by a matrix diagram method, the corresponding fault confidence interval is analyzed according to the probability, different alarm prompts are sent out according to the difference of the fault confidence intervals, and the staff can select the priority level of maintenance according to the different alarm prompts, so that the maintenance efficiency of the fault equipment can be improved, and the operation reliability of the power grid can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only preferred embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart of a method for diagnosing a fault of an electrical device based on a matrix diagram and confidence provided by the present invention;
fig. 2 is a schematic block diagram of a power equipment fault diagnosis system based on a matrix diagram and confidence level according to the present invention.
Detailed Description
In order to better understand the technical content of the invention, specific embodiments are provided below, and the invention is further described with reference to the accompanying drawings.
Referring to fig. 1, a method for diagnosing a fault of an electrical device based on a matrix map and confidence includes the following steps:
acquiring operation data of the power equipment sent by the terminal equipment;
specifically, when the operation data of the power device sent by the terminal device is obtained, the validity of the operation data needs to be checked.
The terminal equipment comprises a plurality of power equipment monitoring devices.
Screening out abnormal electric equipment based on the operation data of the electric equipment;
analyzing the collected operation data of each index item reflecting the health state of the power equipment, determining the data related to the state evaluation of the power equipment by combining the inspection test regulations of the power transformer of the south power grid company and the state evaluation guide rules of 35 kV-500 kV oil-immersed power transformers (high-impedance) of the south power grid company, and establishing the health state grade of the power equipment;
in some embodiments, the health status of the electrical device is classified as severe, attentive, normal.
Taking a transformer as an example, the data related to the state evaluation thereof includes: the method comprises the following steps of electrical test, oiling test, analysis of gas dissolved in oil, working condition information, inspection and defect information, determining the health state grade of the transformer according to the data, and setting the transformer with serious health grade and attention as abnormal power equipment.
Establishing a weight relation based on fault generation factors of abnormal power equipment, establishing a fault matrix diagram based on the weight relation, and calculating the fault occurrence probability of the abnormal power equipment through the fault matrix diagram;
the specific steps for determining the weight relationship are as follows: determining theoretical faults of abnormal power equipment based on an expert scoring method, determining state quantities influencing the theoretical faults, and determining influence weights of the state quantities on the theoretical faults;
and establishing a matrix diagram based on the state quantity and the influence weight.
Calculating the fault occurrence probability of the abnormal power equipment by the following formula:
wherein P isiIs the percentage of probability that the ith fault may occur, aijDetermination of the current fault for the jth state quantity associated with the ith fault, xijAnd determining weight of j state quantity related to the ith fault, wherein n is the total number of the state quantity related to the ith fault.
And calculating fault confidence intervals based on the fault occurrence probability, and realizing different fault alarm prompts based on different fault confidence intervals.
In one embodiment, the above steps include:
and calculating a plurality of fault confidence intervals according to the fault occurrence probability, and respectively representing the fault confidence intervals by using a first fault confidence interval, a second fault confidence interval and a third fault confidence interval.
Sequencing the probability of each theoretical fault according to the sequence from large to small;
when the probability of the theoretical fault is greater than or equal to the first fault confidence interval, sending a first alarm prompt; when the probability of the theoretical fault is greater than the probability of obtaining a confidence interval equal to the second fault, sending a second alarm prompt; the priority level of the first alarm prompt is higher than that of the second alarm prompt; when the probability of the theoretical fault is greater than the probability of obtaining a confidence interval equal to a third fault, sending a third alarm prompt; the second alarm prompt has a higher priority than the third alarm prompt.
And constructing a diagnosis module, and performing fault diagnosis through the diagnosis module while prompting fault alarm.
And forming evaluation and diagnosis application guide rules of specific equipment according to relevant regulations, practical experience, expert suggestions, case analysis and the like, establishing a diagnosis module, establishing a fuzzy state model of the power equipment in the diagnosis module, realizing fault analysis of the power equipment through the fuzzy state model, and giving corresponding processing suggestions.
Referring to fig. 2, a second aspect of the present invention discloses a power equipment fault diagnosis system based on a matrix diagram and confidence, including:
the operation data acquisition module is used for acquiring operation data of the power equipment;
the state evaluation module is used for screening out abnormal electric equipment according to the operation data;
the matrix map calculation module is used for calculating the fault occurrence probability of the abnormal power equipment by a matrix map method;
the confidence alarm module is used for constructing confidence intervals according to the fault occurrence probability and realizing different fault alarm prompts according to different fault confidence intervals;
and the diagnosis module analyzes possible fault reasons according to the fault condition of the abnormal power system and provides a solution.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (6)
1. A power equipment fault diagnosis method based on a matrix diagram and confidence coefficient is characterized by comprising the following steps:
acquiring operation data of the power equipment sent by the terminal equipment;
screening out abnormal electric equipment based on the operation data of the electric equipment;
establishing a weight relation based on fault generation factors of abnormal power equipment, establishing a fault matrix diagram based on the weight relation, and calculating the fault occurrence probability of the abnormal power equipment through the fault matrix diagram;
calculating fault confidence intervals based on the fault occurrence probability, and realizing different fault alarm prompts based on different fault confidence intervals;
and constructing a diagnosis module, and performing fault diagnosis through the diagnosis module while prompting fault alarm.
2. The method for diagnosing the fault of the electric power equipment based on the matrix diagram and the confidence coefficient according to claim 1, wherein the obtaining of the operation data of the electric power equipment sent by the terminal equipment comprises: and carrying out validity check on the operation data.
3. The method for diagnosing the fault of the electric power equipment based on the matrix chart and the confidence coefficient according to claim 1, wherein the step of screening out the abnormal electric power equipment comprises the following steps:
establishing an evaluation index system and an evaluation standard, and setting a health standard of the power equipment based on the evaluation index system and the evaluation standard;
and screening out abnormal electric equipment based on the operation data and the electric equipment health standard.
4. The method for diagnosing the fault of the electric power equipment based on the matrix diagram and the confidence coefficient as claimed in claim 1, wherein a weight relationship is established based on fault generation factors of the abnormal electric power equipment, and a fault matrix diagram is established based on the weight relationship, comprising:
determining theoretical faults of abnormal power equipment based on an expert scoring method, determining state quantities influencing the theoretical faults, and determining influence weights of the state quantities on the theoretical faults;
and establishing a matrix diagram based on the state quantity and the influence weight.
5. The method for diagnosing the fault of the electric equipment based on the matrix diagram and the confidence coefficient according to claim 4, wherein the step of calculating the fault occurrence probability of the abnormal electric equipment through the fault matrix diagram comprises the following steps:
calculating the fault occurrence probability of the abnormal power equipment by the following formula:
wherein P isiIs the percentage of probability that the ith fault may occur, aijDetermination of the current fault for the jth state quantity associated with the ith fault, xijAnd determining weight of j state quantity related to the ith fault, wherein n is the total number of the state quantity related to the ith fault.
6. An electrical equipment fault diagnosis system based on a matrix chart and confidence coefficient, comprising:
the operation data acquisition module is used for acquiring operation data of the power equipment;
the state evaluation module is used for screening out abnormal electric equipment according to the operation data;
the matrix map calculation module is used for calculating the fault occurrence probability of the abnormal power equipment by a matrix map method;
the confidence alarm module is used for constructing confidence intervals according to the fault occurrence probability and realizing different fault alarm prompts according to different fault confidence intervals;
and the diagnosis module analyzes possible fault reasons according to the fault condition of the abnormal power system and provides a solution.
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| CN202010998476.4A CN112115618A (en) | 2020-09-22 | 2020-09-22 | Power equipment fault diagnosis method and system based on matrix chart and confidence |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114354236A (en) * | 2022-03-15 | 2022-04-15 | 武汉顺源游乐设备制造有限公司 | Method and system for monitoring running state of oscillating fly chair based on big data analysis |
| CN114841081A (en) * | 2022-06-21 | 2022-08-02 | 国网河南省电力公司郑州供电公司 | Method and system for controlling abnormal accidents of power equipment |
| CN115825635A (en) * | 2023-02-16 | 2023-03-21 | 中国船舶集团有限公司第七一九研究所 | Method for monitoring state and diagnosing fault of electromechanical equipment of marine engine room |
| CN117495338A (en) * | 2023-09-30 | 2024-02-02 | 国网江苏省电力有限公司信息通信分公司 | System fault diagnosis and repair method based on automatic operation and maintenance |
| CN117640346A (en) * | 2024-01-25 | 2024-03-01 | 中兴系统技术有限公司 | Communication equipment fault diagnosis method, storage medium and computer equipment |
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| CN117640346A (en) * | 2024-01-25 | 2024-03-01 | 中兴系统技术有限公司 | Communication equipment fault diagnosis method, storage medium and computer equipment |
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Application publication date: 20201222 |