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首页> 外文期刊>International Journal of Engineering Science and Technology >Rotor Faults Detection in Induction Motor by Wavelet Analysis
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Rotor Faults Detection in Induction Motor by Wavelet Analysis

机译:基于小波分析的感应电动机转子故障检测。

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Motor current signature analysis has been successfully used for fault diagnosis in induction motors. However, this method does not always achieve good results when the speed or the load torque is not constant, because this cause variation on the motor slip and fast Fourier transform problems appear due to non-stationary signal. This paper experimentally describes the effects of rotor broken bar fault in the stator current of induction motor operating under non-constant load conditions. To achieve this, broken rotor bar fault is replicated in a laboratory and its effect on the motor current has been studied. To diagnose the broken rotor bar fault, a new approach based on wavelet transform is applied by using ‘Labview 8.2 software’ of National Instrument (NI). The diagnosis procedure was performed by using the virtual instruments. The theoretical basis of proposed method is proved by laboratory tests.>
机译:电动机电流信号分析已成功用于感应电动机的故障诊断。但是,当速度或负载转矩不恒定时,此方法并不总能获得良好的结果,因为这会导致电动机滑差变化,并且由于不稳定信号,会出现快速傅立叶变换问题。本文实验性地描述了在非恒定负载条件下转子断条故障对感应电动机定子电流的影响。为此,在实验室中复制了断裂的转子条故障,并研究了其对电动机电流的影响。为了诊断转子条损坏,通过使用National Instruments(NI)的“ Labview 8.2软件”,采用了基于小波变换的新方法。通过使用虚拟仪器执行诊断过程。通过实验室测试证明了该方法的理论基础。

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