Fast Detection Method of Rrolling Bearing Faults Based on BP Neural Network
基于神经网络的滚动轴承故障快速检测方法

A method of detection about rolling bearing faults based on BP neural network and time domain features of vibration signal is proposed to realize fast fault detection. The input vector of the BP neural network are skewness, kurtosis, crest and margin. The network is trained with BP algorithm. Experimental results show that with this method fast detection of rolling bearing faults can be realized effectively.