一种基于EMD-BLS的三相整流电路故障诊断方法

针对三相整流电路的故障诊断，提出了一种基于经验模式分解和宽度学习系统相结合的三相整流电路故障诊断方法。首先利用经验模式分解方法对故障信号进行分解，提取基本模式分量的能量作为特征信号;然后再利用时间复杂度、低分类高精度的宽度学习系统建立故障诊断的分类模型，有效地完成三相整流电路的故障分类。实验结果表明，经验模式分解特征提取效果显著,宽度学习系统故障分类器具有较好的适应性，较快的计算速度和较高的准确度。

A Fault Diagnosis Method of Three-Phase Rectifier Based on Empirical Mode Decomposition and Broad Learning System

For the fault diagnosis of three-phase rectifier circuit,this paper proposes a fault diagnosis method of three-phase rectifier circuit based on the combination of empirical mode decomposition and broad learning system.The method first uses the empirical mode decomposition method to decompose the fault signal and extract the basic mode energy of the component as the characteristic signal,and then the broad learning system with low time complexity and high classification accuracy is used to establish classification model for fault diagnosis,which effectively accomplish the fault classification of the three-phase rectifier circuit.The experimental results show that the empirical mode decomposition feature extraction effect is significant,the broad learning system fault classifier has better adaptability,faster calculation speed and higher accuracy.