Induction Motor Fault Diagnosis Based On Wavelet Analysis

Modern Manufacturing and Operation is reducing the reliance on human being, in the meantime, more and more depend on the automation equipment. As a widely used industrial facility, motor is an integral part of the modernization mass production. Fault diagnosis system of motor is becoming significant, playing more and more important role in safe operation. The goal of fault diagnosis system is to ensure safety in the motor operating. During the development process, signal processing is a critical component, most researches are centered in this part.This paper describes the main types of motor failure, and compares the current mainstream fault diagnosis techniques. Particularly paper describes and discusses in the stator current law and vibration analysis in detail. We adopted the wavelet analysis as the mathematical measure to process the signal. And we verify the fault diagnosis system based on wavelet analysis through matlab software test.In details, this paper introduces the research background and the significance of motor fault diagnosis. The development of the domestic and foreign motor fault diagnosis techniques is outlined. Specially, we analyzed data and relevant statistics about the distribution of fault types and the reasons of the failure.Secondly, we introduce the basis of Fourier analysis and wavelet analysis. In the latter part of this chapter, we focus on the different base between two transformations, to discuss the advantages of wavelet transform. Therefore, we take wavelet analysis as a mathematical method to process the signal.Further, we discuss the problems about the practical application of wavelet packet analysis and proposed three improvement program, which are the best selection of wavelet base on special fault situation, the improvement of frequency alias, the combination with Fourier analysis and wavelet packet analysis to determine the fault characteristic frequency.Finally, we integrate the wavelet packet analysis into MCSA(Motor Current Signal Analysis) and vibration monitoring, and propose the improved motor vibration analysis and improved MCSA.It was from the study of these that wavelet packet analysis is an appropriate mathematics tool to be applied to fault diagnosis system. And the best selection of wavelet base can improve the accuracy on fault diagnosis system. With the in-depth study of wavelet analysis, wavelet analysis will play a larger role in fault diagnosis system.