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Multi-Level Stator Winding Failure Analysis on the Insulation Material for Industrial Induction Motor
Experimental Techniques ( IF 1.5 ) Pub Date : 2021-07-06 , DOI: 10.1007/s40799-021-00490-0
Amar Kumar Verma 1 , Sudha Radhika 1
Affiliation  

Multi-level stator winding failure investigation on the insulation material for industrial induction motor at its incipient stage can achieve tremendous energy savings, minimize maintenance costs, and enhance the operational life. Early detection has the main advantage of preventing motor failure, which gradually leads to catastrophic or complete shutdown. In this paper, the multi-level stator winding failure of an industrial induction motor in the numerical model was designed and implemented using Finite-Element Analysis (FEA). Since multi-level stator winding failure constitutes substantial time and frequency domains, the signature from the motor is analysed employing a time-frequency-based technique using wavelets. Early detection of the multi-level stator winding failures uses signatures from the experimental setup of both healthy and faulty motors by combining both modular and virtual instruments. FEA results were then validated under the same operating conditions using an experimental setup. It has been observed that the results obtained from the FEA are in good agreement with the experimental setup. The frequency component variation in the sensor frequency response for fault conditions at various severity levels suggests multiple frequency bands. When the motor was under the influence of a 50% stator turn-turn fault, a similar frequency band between 700-800 Hz was observed. As a result, the proposed research was accurate, with a correlation factor of 0.96.



中文翻译:

工业感应电机绝缘材料多级定子绕组失效分析

对工业感应电机绝缘材料在初期阶段进行多级定子绕组故障调查,可以实现巨大的节能,最大限度地降低维护成本,提高使用寿命。早期检测的主要优点是防止电机故障逐渐导致灾难性或完全停机。在本文中,使用有限元分析 (FEA) 设计并实现了数值模型中工业感应电机的多级定子绕组故障。由于多级定子绕组故障构成了大量的时域和频域,因此使用基于时频的小波技术分析来自电机的特征。多级定子绕组故障的早期检测通过结合模块化和虚拟仪器使用来自健康和故障电机的实验设置的特征。然后使用实验装置在相同的操作条件下验证 FEA 结果。已经观察到,从 FEA 获得的结果与实验设置非常一致。在不同严重程度的故障条件下,传感器频率响应中的频率分量变化表明存在多个频带。当电机受到 50% 定子匝间故障的影响时,观察到 700-800 Hz 之间的类似频带。因此,所提出的研究是准确的,相关系数为 0.96。然后使用实验装置在相同的操作条件下验证 FEA 结果。已经观察到,从 FEA 获得的结果与实验设置非常一致。在不同严重程度的故障条件下,传感器频率响应中的频率分量变化表明存在多个频带。当电机受到 50% 定子匝间故障的影响时,观察到 700-800 Hz 之间的类似频带。因此,所提出的研究是准确的,相关系数为 0.96。然后使用实验装置在相同的操作条件下验证 FEA 结果。已经观察到,从 FEA 获得的结果与实验设置非常一致。在不同严重程度的故障条件下,传感器频率响应中的频率分量变化表明存在多个频带。当电机受到 50% 定子匝间故障的影响时,观察到 700-800 Hz 之间的类似频带。因此,所提出的研究是准确的,相关系数为 0.96。在不同严重程度的故障条件下,传感器频率响应中的频率分量变化表明存在多个频带。当电机受到 50% 定子匝间故障的影响时,观察到 700-800 Hz 之间的类似频带。因此,所提出的研究是准确的,相关系数为 0.96。在不同严重程度的故障条件下,传感器频率响应中的频率分量变化表明存在多个频带。当电机受到 50% 定子匝间故障的影响时,观察到 700-800 Hz 之间的类似频带。因此,所提出的研究是准确的,相关系数为 0.96。

更新日期:2021-07-07
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