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Latest diagnosis technology of asynchronous machine using model based approach

机译:基于模型的异步电机最新诊断技术

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摘要

This paper shows the different analysis method with high-tech data processing then acquirement takes new areas in the monitoring of asynchronous motor. It is a non-invasive technique and it does not require any expensive sensors for taking measurements. Finding of broken bar fault also air gap eccentricity fault by using wavelet Analysis method and Motor Current Signature Analysis method are discussed here. It helps in the actual time chasing of various motor faults then regulates the cruelty. The revision on healthy motor and faulty motor under different speed condition is supported out experimentally in addition the outcomes are investigated using FFT spectrum, which is obtained by interfacing LabVIEW.
机译:本文介绍了采用高科技数据处理的不同分析方法,然后在异步电动机的监视中采集获得了新的领域。这是一种非侵入性技术,不需要任何昂贵的传感器即可进行测量。讨论了利用小波分析法和电动机电流信号分析法寻找断条故障以及气隙偏心故障。它有助于实时追踪各种电机故障,然后调节残酷性。实验上支持对不同速度条件下的健康电动机和故障电动机进行修订,此外还使用FFT频谱对结果进行了研究,该频谱是通过连接LabVIEW获得的。

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