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首页> 外文期刊>IEEE Transactions on Energy Conversion >Mechanical Fault Detection in a Medium-Sized Induction Motor Using Stator Current Monitoring
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Mechanical Fault Detection in a Medium-Sized Induction Motor Using Stator Current Monitoring

机译：使用定子电流监测的中型感应电动机中的机械故障检测

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This paper presents the results of an experimental study of the detection of mechanical faults in an induction motor. As is reasonably well known, by means of analysis of combinations of permeance and magneto-motive force (MMF) harmonics, it is possible to predict the frequency of air gap flux density harmonics which occur as a result of certain irregularities in an induction motor. In turn, analysis of flux density harmonics allows the prediction of induced voltages and currents in the stator windings. Reviewing this theory, equations which may aid in the identification of mechanical faults are presented. These equations include both those which indicate eccentric conditions and those which have been suggested to help identify bearing faults. The development of test facility to create eccentricity faults and bearing fault conditions is described. This test facility allows rapid access to the motor bearings, allowing an investigation into the ability to detect faulted bearing conditions using stator current monitoring. Experimental test results are presented, indicating that it may be possible to detect bearing degradation using relatively simple and inexpensive equipment.
机译：本文介绍了检测感应电动机中机械故障的实验研究结果。如公知的那样，通过对磁导和磁通（MMF）谐波的组合进行分析，可以预测由于感应电动机中的某些不规则性而出现的气隙磁通密度谐波的频率。反过来，通过对磁通密度谐波进行分析，可以预测定子绕组中的感应电压和电流。回顾这一理论，提出了有助于识别机械故障的方程式。这些方程式既包括表示偏心条件的方程式，也包括建议用来帮助识别轴承故障的方程式。描述了创建偏心故障和轴承故障情况的测试设备的开发。该测试设备可以快速访问电动机轴承，从而可以研究使用定子电流监控器检测故障轴承状况的能力。给出了实验测试结果，表明可以使用相对简单且便宜的设备检测轴承的退化。

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