对电力机车主变流器的输出电压波形采用能量分布特征提取方法和优化BP算法,提出了基于小波变换和BP神经网络的主变流器故障智能诊断系统。利用该系统对变流器整流元件的开路故障进行了故障诊断仿真,验证了该智能诊断系统的准确性和有效性 Based on the energy distribution feature extraction method and BP optimization algorithm, the main converter fault diagnosis system based on wavelet transform and BP neural network is proposed. The system is used to diagnose the open-circuit fault of the rectifiers of the converter, which verifies the accuracy and validity of the intelligent diagnosis system