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

机译:离散小波变换的应用识别感应电动机定子匝间短路

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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:感应电动机中的定子电流的谐波元件将在转向间短路的条件下改变。根据该特征,本文提出了一种基于离散小波变换(DWT)的新技术,用于识别感应电动机匝间短路。功率系统计算机辅助设计(PSCAD)用于通过用一个相电路调整串联的阻抗来模拟3.7 kW(5 hp)感应电动机中的一转向六圈定子匝间短路的过程。 Daubechies 45(DB45)小波变换在正常和异常(电压不平衡和变化负载)条件下施加到一个相电流。从分解获得的第六级近似系数用于构成识别定子匝间短路的标准。已经进行了广泛的仿真工作,结果表明本文提出的方案具有高识别电动机定子匝间短路的高识别率。

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