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Application of discrete wavelet transform for identification of induction motor stator inter-turn short circuit

机译:离散小波变换在感应电动机定子匝间短路识别中的应用

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The harmonic elements of stator current in induction motors will change under the condition of stator inter-turn short circuit. According to this characteristic, in this paper, a novel technique based on discrete wavelet transform (DWT) is proposed for the identification of induction motor stator inter-turn short circuit. The power systems computer aided design (PSCAD) is employed to simulate the process of one-turn to six-turn stator inter-turn short circuit in a 3.7 kW (5 hp) induction motor by adjusting the impedance in series with one phase circuit. The Daubechies 45 (db45) wavelet transform is applied to one phase currents under normal and abnormal (voltage imbalance and varying load) conditions. The sixth level approximation coefficients obtained from the decomposition are used to structure the criterion for identifying stator inter-turn short circuit. Extensive simulation work has been conducted and results indicate 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,感应电动机中定子电流的谐波分量会发生变化。根据这一特性,本文提出了一种基于离散小波变换(DWT)的新技术,用于感应电动机定子匝间短路的识别。电力系统计算机辅助设计(PSCAD)用于通过调整与一相电路串联的阻抗来模拟3.7 kW(5 hp)感应电动机中一匝到六匝定子匝间短路的过程。 Daubechies 45(db45)小波变换适用于正常和异常(电压不平衡和负载变化)条件下的一相电流。从分解中获得的第六级近似系数用于构造用于识别定子匝间短路的标准。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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