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High voltage circuit breaker self-diagnosis method based on abnormal sample identification

A high-voltage circuit breaker and abnormal sample technology, which is applied in the direction of circuit breaker testing, instruments, and measuring devices, can solve the problems of complex structure of the operating mechanism, difficulty in establishing direct contact, difficulty in practical application of fault diagnosis, etc., and achieve the goal of preventing interference Effect

Active Publication Date: 2016-07-13
JIANGSU ZHENAN ELECTRIC POWER EQUIP
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are many monitoring parameters of the circuit breaker, the structure of the operating mechanism is complex, and there is no direct causal relationship between the characterization of many faults and the cause of the fault, and it is difficult to establish a direct connection. These have brought difficulties to the practical application of fault diagnosis.

Method used

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  • High voltage circuit breaker self-diagnosis method based on abnormal sample identification
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  • High voltage circuit breaker self-diagnosis method based on abnormal sample identification

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Embodiment Construction

[0053] In this paper, the closing coil current data of 40 groups of circuit breakers (including 5 types of states, each named as C i (i=1,...5)), including 5 main state types, including normal state, iron core jam, operating mechanism jam, coil voltage too low, iron core empty stroke too long. The sample data of the closing coil is shown in the following table (time unit is ms; current unit is A):

[0054] Table 1 Partial circuit breaker fault data

[0055]

[0056]

[0057] The model initially only stores C 1 ,C 2 There are 2 types of sample sets, and each type of failure has 5 samples. The remaining 30 samples are test samples. L and M are set to 5; O is set to 3. In order to reflect the flow of identifiable fault samples and search for abnormal fault groups, the test set sorting: C 1 ,C 2 5 test samples were randomly selected and placed in the first 5 sequence, C3 samples were randomly selected and placed in the 6-10 sequence, and the remaining test samples wer...

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Abstract

Provided is a high voltage circuit breaker self-diagnosis method based on abnormal sample identification, comprising: (1) collecting high voltage circuit breaker current characteristic data through high voltage circuit breaker manufacturers, Jiangsu province maintenance departments, etc.; (2) initializing a storage area (including a real time database, a distinguishable area and an undistinguishable area) of a self-diagnosis model; (3) setting self-diagnosis model correlated parameters of following modules: a PSO optimization module, a KFCM identification module, etc.; (4) placing an initial training data set in the distinguishable area of the self-diagnosis model, adding KFCM clustering results based on the initial training data set into the real time database, and accordingly the PSO optimization module calculating the initial parameter of an SVDD detection module; and (5) the self-diagnosis model performing circular operation to process test samples, processing types comprising: distinguishable sample processing, undistinguishable sample processing and new fault type appearance processing. The method can effectively clarify and summarize current data of a high voltage circuit breaker, and provide a more scientific basis for management of electric power maintenance departments, and production and improvement of high voltage electrical equipment manufacturers.

Description

technical field [0001] The invention belongs to the field of electrical equipment fault diagnosis, relates to PSO, KFCM and SVDD in data mining technology, and is a high-voltage circuit breaker self-diagnosis method based on abnormal sample identification. Background technique [0002] The circuit breaker is the core part of the power switchgear, which undertakes important functions such as breaking and closing the power line, line fault protection, and monitoring the operating power data. The operation and maintenance of the circuit breaker is the premise and basis for ensuring the safe and stable operation of the power system. At present, the traditional periodic inspection of electrical equipment can no longer meet the needs of the development of modern smart grids, and it is urgent to change to condition-based maintenance. Condition-based maintenance refers to the method of judging equipment abnormalities, predicting equipment failures, and performing maintenance before ...

Claims

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Application Information

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IPC IPC(8): G01R31/327
CPCG01R31/3275
Inventor 庞玲玉凌辉吴振飞袁强陈杨宋健徐振非
Owner JIANGSU ZHENAN ELECTRIC POWER EQUIP
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