Abstract：Wavelet decomposition method is used to analysis the low voltage circuit breaker mechanical properties with its vibration signals. According to the electric operating mechanism of low voltage circuit breaker and its closing action sequence relations,driving motor current signal as a time stamp is applied to effectively extract closing vibration signal. A novel low voltage circuit breaker closing synchronous research is proposed with wavelet energy spectrum analysis in this paper. Based on refine decomposition to closing vibration signal and feature extraction from its main frequency band with wavelet packet reconstruction,the feature vector of closing synchronous is constructed. Three phases closing asynchronous fault identification model is established by back propagation neural network with above feature vector. The vibration signals of a DW15#x02014;1600 low-voltage circuit breaker under four specific closing synchronous status simultaneities are recorded from a single acceleration sensor mounted on a cross beam of breaker base. The simulation results show that the combination method of wavelet packet energy spectrum and neural network can effectively analysis the closing synchronism of a low voltage circuit breaker.
缪希仁，王燕. 低压断路器振动特性分析与合闸同期性研究[J]. 电工技术学报, 2013, 28(7): 81-85.
Miao Xiren,Wang Yan. Vibration Characteristic Analysis and Closing Synchronization Research of Low Voltage Circuit Breakers. Transactions of China Electrotechnical Society, 2013, 28(7): 81-85.
2013, Vol. 28 
