Open AccessFault diagnosis of vacuum circuit breaker based on coil current of release
Author(s) -
Ben-bin Chen,
Hao Shi,
Zhijian Zhuang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1311/1/012023
Subject(s) - circuit breaker , waveform , particle swarm optimization , electromagnetic coil , fault (geology) , support vector machine , computer science , wavelet , feature (linguistics) , current (fluid) , engineering , control theory (sociology) , electronic engineering , algorithm , electrical engineering , voltage , artificial intelligence , linguistics , philosophy , control (management) , seismology , geology
The release is the key component of operation mechanism of circuit breaker. Its current waveform contains many information. The fault diagnosis of circuit breaker can be realized by analyzing the current waveform of coil. Firstly, the combination method of wavelet analysis and seeking extreme points in region extremum is proposed to obtain the feature values of coil current of circuit breakers. Then, a novel intelligent particle swarm optimization (PSO) algorithm was adopted to search the optimal parameters of support vector machine (SVM). Finally, a high-performance SVM with optimal parameters is constructed for fault diagnosis. The experimental results show that the method can achieve a high fault diagnosis accuracy.