摘要
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。
Method of extraction of energy distribution characteristics and optimized BP algorithm is used for the output voltage waveform of main converter for electric locomotive. It is put forward the intelligent fault diagnosis system for main converter based on small wave transformation and BP neural network.Fault diagnosis is simulated by the system for opened fault of converter component. The correctness and efficiency of the intelligent diagnosis system is verified.
出处
《机车电传动》
2005年第3期57-59,62,共4页
Electric Drive for Locomotives
关键词
变流器
故障诊断
小波分析
神经网络
converter
fault diagnosis
wavelet transform
neural networks
