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Application of morphological max-lifting scheme for identification of induction motor stator inter-turn short circuit

机译:最大形态提升方案在感应电动机定子匝间短路识别中的应用

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摘要

The harmonic components of stator winding current in induction motor will change under the condition of stator inter-turn short circuit. According to these characteristics, in this paper, a novel technique based on morphological maxlifting scheme is proposed for identification of induction motor stator inter-turn short circuit. A max-lifting scheme is applied to process stator winding currents to extract these characteristics. An indicator, r, is computed to identify the short circuit. The transient model of induction motor is employed to simulate oneturn to six-turn stator inter-turn short circuits in an induction motor. Extensive simulation work has been conducted under normal conditions, abnormal conditions (voltage imbalance and varying load), stator inter-turn short circuit conditions, and conditions of any combinations of the above. The results have shown that the scheme proposed in this paper has a high identification rate for induction motor stator inter-turn short circuit.
机译:在定子匝间短路的情况下,感应电动机中定子绕组电流的谐波分量会发生变化。根据这些特征,提出了一种基于形态最大提升方案的感应电动机定子匝间短路识别新技术。采用最大提升方案来处理定子绕组电流以提取这些特性。计算指示器r以识别短路。感应电动机的瞬态模型用于模拟感应电动机中的一匝到六匝定子匝间短路。已经在正常条件,异常条件(电压不平衡和负载变化),定子匝间短路条件以及以上任意组合的条件下进行了广泛的仿真工作。结果表明,本文提出的方案对感应电动机定子匝间短路具有较高的识别率。

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