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首页> 外文期刊>Dyna >MOTOR CURRENT SIGNATURE ANALYSIS AND NEGATI VESEQUENCE CURRENT BASED STATOR WINDING SHORT FAULTDETECTION IN AN INDUCTION MOTOR
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MOTOR CURRENT SIGNATURE ANALYSIS AND NEGATI VESEQUENCE CURRENT BASED STATOR WINDING SHORT FAULTDETECTION IN AN INDUCTION MOTOR

机译:感应电动机中基于电动机电流签名分析和负矢量电流的定子绕组短路故障检测

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In this paper, negative sequence analysis and motor current signature analysis (MCSA) based approaches are applied to performshort fault detection of a single phase winding in an induction motor. The fault detection is carried out using the negative sequence analysisand spectral analysis of current signals. An experimental analysis is presented, showing the advantages and drawbacks for each methodimplemented. Tests are performed in a 2 Hp induction motor dedicated to this type of study. Experimental results show variations in the faultindicator in both methods when the motor is running under different load conditions. Although the negative sequence current method demandssimultaneous three phase current sensing, it presents better performance for short fault detection and provides a fault severity level estimation.
机译:在本文中,基于负序分析和电动机电流签名分析(MCSA)的方法被应用于对感应电动机中的单相绕组进行短路故障检测。使用电流信号的负序分析和频谱分析进行故障检测。进行了实验分析,显示了每种实现方法的优缺点。在专用于此类研究的2 Hp感应电动机中进行测试。实验结果表明,当电动机在不同的负载条件下运行时,两种方法中的故障指示器均会发生变化。尽管负序电流方法需要同时进行三相电流感测,但它为短路故障检测提供了更好的性能,并提供了故障严重性级别估计。

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