Breaker fault diagnosis method based on separating/closing coil current signals

Abstract

The invention relates to a breaker fault diagnosis method based on separating / closing coil current signals, which includes the following steps: 1, collecting a primary fault dataset and performing normalization processing to the collected data; 2, adopting the algorithm P-KFCM combined by the algorithm PSO (particle swarm optimization) and the algorithm KFCM (kernel fuzzy C-mean clustering) to classify the data set, so as to obtain a primary fault sample membership matrix and classifying the dataset into C types according to the degree of membership; 3, verifying the cluster number C through the cluster effectiveness index MPC, and setting the cluster number C corresponding to the maximum value of MPC as the optimal cluster number; 4, building an SVM predicating trainer through data samples of every two types in the optimal classification, so as to obtain C*(C-1) / 2 SVM training models; 5, inputting the collected test samples in the SVM training models, and obtaining the primary testing results; 6, obtaining the final fault diagnosis by combining all the testing results. Through the adoption of the method, the accuracy of fault classification can be improved, and the on-line detection on fault types of breakers can be realized.

Description

technical field [0001] The invention belongs to the technical field of electric engineering, relates to a particle swarm algorithm, a fuzzy C-mean value clustering algorithm and a support vector machine algorithm, and is a method for on-line diagnosis of circuit breaker faults. Background technique [0002] As an important protection and control device in the power system, the high-voltage circuit breaker's reliable operation can make the entire power grid system run safely and stably. Therefore, ensuring the normal operation of the circuit breaker is the basis for ensuring the safe and stable operation of the power grid. To improve the reliability of high-voltage circuit breaker operation, on the one hand, it is necessary to continuously improve the production quality of high-voltage circuit breakers; on the other hand, it is necessary to strengthen the maintenance of high-voltage circuit breakers to avoid failures as much as possible. Because traditional regular maintenan...

AI Technical Summary

Problems solved by technology

[0005] In addition, since the core algorithm of fault diagnosis is the identification and classification of fault information, traditional clustering algorithms are prone to fall into local optimization problems and cause misclassification, making the final diagnosis results unreliable. How to invent a highly reliable new The diagnosis algorithm has become an urgent problem to be solved

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