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首页> 外文会议>IEEE International Conference on Innovations in Green Energy and Healthcare Technologies >Static eccentricity failure diagnosis for induction machine using wavelet analysis
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Static eccentricity failure diagnosis for induction machine using wavelet analysis

机译：基于小波分析的异步电机静态偏心故障诊断

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摘要

This paper shows the different analysis method with computerized data processing and acquisition has brought new areas in the condition monitoring of Induction Motor. The modern industry mainly used reliability based and condition based maintenance strategies to reduce unexpected failures. Detection of air gap eccentricity fault by using wavelet Analysis method and Motor Current Signature Analysis method are discussed here. It helps in the real time tracking of various motor defects and determines the severity of it, which can be used for fast decision making. The study on healthy motor and faulty motor under different speed condition is carried out experimentally and the results are analyzed using FFT spectrum, which is obtained by interfacing National Instrument data acquisition module with the LabVIEW software.
机译：本文说明了采用计算机数据处理和采集的不同分析方法为感应电动机的状态监测带来了新的领域。现代工业主要使用基于可靠性和基于状况的维护策略来减少意外故障。讨论了利用小波分析法和电动机电流信号分析法检测气隙偏心故障。它有助于实时跟踪各种电机缺陷并确定其严重性，可用于快速决策。实验研究了在不同速度条件下的健康电动机和故障电动机，并使用FFT频谱分析了结果，该频谱是通过将National Instruments数据采集模块与LabVIEW软件连接而获得的。

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