关键词: 反向传播（BP）神经网络延拓, 局部特征尺度分解, 端点效应, 滚动轴承, 故障诊断

Abstract: In view of the Local Characteristic-scale Decomposition（LCD） in serious endpoint effect, the BP neural network is applied to the signal in the extension, and the method based on BP neural network endpoint extension Local Characteristic-scale Decomposition（BP-LCD） is proposed. The BP neural network is used to predict the end of the signal and then the curve is decomposed by LCD in this method. Through the analysis of the simulation signal, the method can effectively suppress the endpoint effect in the LCD method, then the method is applied to the actual fault diagnosis of rolling bearing. The results show that the method is effective.

Key words: Back Propagation（BP） neural network endpoint extension, Local Characteristic-scale Decomposition（LCD）, endpoint effect, rolling bearing, fault diagnosis