Vibration signal wavelet packet analysis and switching synchronization research of low voltage circuit breaker

Abstract

Wavelet decomposition method is used to analysis the vibration signal of low voltage circuit breaker mechanical properties. According to the electric operating mechanism and circuit breaker closing action sequence relations, drive motor current signal as a time stamp is applied to effectively extract switching vibration signal. Then, vibration signal feature vectors are structured by means of the wavelet packet energy spectrum, and BP neural network are applied to establish the three-phase closing asynchronous fault identification model. The experiment and simulation results show that the combination of wavelet packet energy spectrum and neural network can effectively analysis of low voltage circuit breaker closing synchronism.