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

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 ...

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 characteriza

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