基于振动谱新特征的感应电机断条智能诊断

2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives Pub Date : 2007-12-04 DOI:10.1109/DEMPED.2007.4393079

A. Sadoughi, M. Ebrahimi, M. Moalem, S. Sadri

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引用次数: 34

摘要

提出了一种感应电动机断条的智能诊断方法。该方法基于使用从振动谱中提取的新特征来训练神经网络。这些与断层有关的特征取决于滑动。利用振动谱可以确定滑移的准确值;因此，振动传感器是唯一需要的传感器。该方法在所有实验室试验中均能正确诊断。

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Intelligent Diagnosis of Broken Bars in Induction Motors Based on New Features in Vibration Spectrum

This paper presents an intelligent method for diagnosing broken bars in induction motors. The method is based on training a neural network using new features extracted from vibration spectrum. These fault related features depend on slip. The exact value of slip can be determined using vibration spectrum; therefore, a vibration sensor is the only required sensor. The method has been able to diagnose correctly in all the laboratory tests.

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来源期刊

2007 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives

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