整流电路模型具有很强的非线性,通常对其进行在线故障诊断比较困难。提出采用基于波形直接分析的神经网络故障诊断方法实现整流电路在线故障诊断。以三相整流电路为倒,对电路发生故障时输出的波形进行分析,采样故障波形的数据制作样本对神经网络进行训练,将训练好的神经网络用于故障诊断。仿真实验结果表明该方法是有效的。
The rectifier circuit model has a strong non -linear. It is usually difficult to make on- line fault diagnosis. Based on BP neural network,a new on - line fault diagnosis method for rectifier circuit is presented. The article takes the example of rectified three - phase circuit. After analyzing the output waveforms of fault circuit and training a BP neural network with the sampling data of fault waveforms,a well training BP neural network is constructed and used to diagnose the fault. The simulation and experiment demonstrate that this method is valid.