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Detection of Induction Motor Stator Winding and Unbalance Faults Using Hybrid Methods

机译:使用混合方法检测感应电动机定子绕组和不平衡故障

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This paper presents the results of a study aimed at the defection of three phase induction motor stator winding and unbalance faults using experimental techniques. Unlike broken rotor bar and rolling element bearing faults, a stator winding fault docs not have well-defined fault frequencies in the vibration, acoustic or stator winding current spectra. On the other hand, an unbalance fault may yield vibration spectral harmonics that are similar to other faults. For these reasons it is sometimes difficult to detect and diagnose these faults by using only one monitoring scheme. To obtain the generic characteristics of these motor faults this paper employs a combination of vibration, stator current and acoustic methods. This enables us to investigate motor faults from different perspectives in an effort to derive effective condition monitoring methods. Simulated motor fault experiments were conduced in a laboratory environment under different speed and load conditions. Experimental results suggest that particular spectral harmonics from measurements are sensitive to different motor faults. For the purpose of induction motor condition monitoring, hybrid methods are highly recommended in order to obtain accurate monitoring results.
机译:本文介绍了使用实验技术针对三相感应电动机定子绕组的缺陷和不平衡故障进行研究的结果。与断裂的转子条和滚动元件轴承故障不同,定子绕组故障文档在振动,声学或定子绕组电流谱中没有明确定义的故障频率。另一方面,不平衡故障可能会产生类似于其他故障的振动频谱谐波。由于这些原因,有时仅使用一种监视方案很难检测和诊断这些故障。为了获得这些电动机故障的一般特征,本文采用了振动,定子电流和声学方法的组合。这使我们能够从不同的角度研究电动机故障,以寻求有效的状态监测方法。在不同速度和负载条件下的实验室环境中进行了模拟的电动机故障实验。实验结果表明,来自测量的特定频谱谐波对不同的电动机故障敏感。出于感应电动机状态监控的目的,强烈建议使用混合方法以获得准确的监控结果。

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