A Breaker Fault Diagnosis Method Based on Fisher Discriminant Classification

Abstract

The invention discloses a circuit breaker fault diagnosis method based on a Fisher discriminant classification method. The circuit breaker fault diagnosis method based on the Fisher discriminant classification method comprises the following steps that 1, a characteristic space is constructed according to characteristic values of current parameters and time parameters of a closing coil of a circuitbreaker to classify fault states of the circuit breaker; 2, a canonical discriminant function model of circuit breaker fault diagnosis based on the Fisher discriminant classification method is obtained through characteristic value data of current parameters and time parameters of the closing coil of the circuit breaker under different fault states; 3, the sample data of the Fisher canonical discriminant function model is substituted into an established model to judge the accuracy of the established model, if the accuracy is lower than the set value, the step 2 is carried out, and the canonical discriminant function model is reestablished by extracting more canonical discriminant functions; and 4, the canonical discriminant function model of circuit breaker fault diagnosis based on the Fisher discriminant classification method is applied to actual circuit breaker fault diagnosis. The circuit breaker fault diagnosis method based on the Fisher discriminant classification method has highaccuracy for fault diagnosis of the circuit breaker.

Description

Technical field [0001] The invention relates to the field of circuit breaker fault diagnosis, in particular to a circuit breaker fault diagnosis method based on Fisher discriminant classification. Background technique [0002] As an important protection and control appliance in the power system, the circuit breaker plays a very critical role in ensuring the safe and stable operation of the power grid. Its operation and maintenance is also an important part of the daily work of the power sector. With the acceleration of smart grid construction, the traditional regular inspection mode can no longer be adapted, and the maintenance system is gradually transitioning to a predictive state maintenance system. Therefore, various electrical manufacturers and scientific research institutes have increased their research efforts on circuit breaker online monitoring and fault diagnosis. The research work on fault diagnosis technology that can provide necessary guidance for condition maintenan...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem that the artificial neural network algorithm in the prior art is limited by the number of samples and is easy to fall into local optimum, the present invention provides a circuit breaker fault diagnosis method based on Fisher's discriminant classification method, which can Classify the samples reasonably, and extract and contain a large amount of sample characteristic information from the sample data, so as to complete the fault diagnosis of the circuit breaker

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