Mechanical life prediction of low-voltage circuit breaker based on vibration detection during operation

To solve the problem of on-line mechanical life prediction of low-voltage circuit breaker, propose an on-line remaining mechanical life prediction method for low-voltage circuit breaker based on vibration detection. Based on the analysis of the causes of vibration events during the opening process of the circuit breaker, the mechanism action time is utilized as the degradation parameter of life prediction model. Firstly, vibration signal is de-noised by the fusion of variation mode decomposition and singular value decomposition. Then, based on short-term energy, the dual-threshold method is used to detect moments for key vibration events and complete the extraction of mechanism action time parameter. Finally, the mechanical performance degradation model of the circuit breaker is formulated, which utilizes Wiener theory to realize prediction of the remaining mechanical life. Experimental results show that the proposed method can effectively evaluate the remaining mechanical life of low-voltage circuit breakers. The average relative error of prediction is only 4.92%, which has an engineering practicability. © 2020, Science Press. All right reserved.