JIN Xinchen, CUI Hesong, WU Jianwen, et al. Fault Diagnosis of Circuit Breaker Based on Wavelet Packet-energy Spectrum and Delay Time[J]. High voltageapparatus, 2019, 55(6): 38-44.
JIN Xinchen, CUI Hesong, WU Jianwen, et al. Fault Diagnosis of Circuit Breaker Based on Wavelet Packet-energy Spectrum and Delay Time[J]. High voltageapparatus, 2019, 55(6): 38-44. DOI: 10.13296/j.1001-1609.hva.2019.06.005.
Fault Diagnosis of Circuit Breaker Based on Wavelet Packet-energy Spectrum and Delay Time
To detect circuit breaker’s potential mechanical fault and determine whether a circuit breaker can be normally used
the mechanical vibration signal of a circuit breaker is analyzed
and a vibration signal processing methodisput forward.In this method
wavelet packet analysis is applied to the signal to calculatethe energy spectrum of the waveformin every scale
and the cross-correlation function is employed to calculate the delay time of the signal in each faulty condition relative to the signal in normal condition. Adding the characteristic quantities into the modified support vector machine
named feature weighted support vector machine(FWSVM)
to perform fault diagnosis of circuit breaker. It is shown that some of the mechanical faults of high-voltage circuit breaker can be effectively analyzed by this method.