Open AccessResearch on the Mechanical Fault Diagnosis Method for Circuit Breakers Based on KFCM
Author(s) -
Xiaofei Xia,
Yufeng Lü,
Yi Su,
Jiandong Yang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/508/1/012166
Subject(s) - circuit breaker , waveform , vibration , signal (programming language) , entropy (arrow of time) , fault (geology) , computer science , pattern recognition (psychology) , artificial intelligence , engineering , acoustics , physics , electrical engineering , telecommunications , seismology , geology , radar , quantum mechanics , programming language
According to the characteristics of non-stationary vibration signals of circuit breakers, a new fault diagnosis method for circuit breakers is proposed in this paper. In this method, the time domain waveform of the collected vibration signal is decomposed by CEEMDAN, and its high-frequency component is reconstructed according to the entropy weight method to obtain the denoised signal. The denoised signal is decomposed by LMD, and the multi-scale permutation entropy is calculated for the decomposed PF component as the input characteristic component of KFCM recognition algorithm. The results of KFCM identification show that this method has a high recognition rate for typical faults such as circuit breaker shaft jam, loose base and refusing action.