基于幅值恢复算法的谐波分析实验

本文的研究目的就是针对三相异步电机的运行状态的监测以期对电机早期故障能够及时发现,减小故障严重后造成的巨大损失。本文采用分析定子电流的方式对运行中的电机进行现场监测,为解决故障频率与电网频率接近,且电机轻微故障时,定子电流中故障特征分量幅值过小的问题,使用一种新的谐波分析方法——幅值恢复算法,将该算法结合Fourier频谱分析,可对电机轻微故障和微弱的谐波成分做出有效的分析。

Harmonic Analysis Experiment Based on Amplitude Recovery Methods

The purpose of this research is aimed induction motor running state monitoring of motor incipient faults can be found in time,reduce the fault severity after the huge loss caused by.This system adopts the analysis of stator current of the motor in running on-site monitoring,in order to solve the fault frequency and power grid frequency is close to the motor,and minor faults in stator current,fault feature component is too small issue,using a new method of harmonic analysis-amplitude recovery methods,the methods combined with Fourier spectrum analysis of motor fault,mild and weak harmonic components make effective analysis.