MSCP Based Stator Fault Identification in Induction Motor Using Power Quality Analyzer

W. Rajan Babu, M. Sundaram, A. Kavithamani, S. Sam Karthik, N. Abinaya, V. Bharath Choudry
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Abstract

Most of the machines are driven by Induction motor nowadays. Induction motor gets failure due to various reasons. This fault mostly occurs in the stator. By measuring the current of a motor and comparing it to a fixed value, any fault can be detected. Different kind of faults exhibits different types of electrical current profile. The nature of this current is measured by a Power Quality Analyzer and converted into waveforms and spectrums. By looking closely at these three-phase current readings, one can predict when a machine is about to fail. Motor Stator Current Profile (MSCP) based method is proposed to identify the different stator faults.
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基于电能质量分析仪的MSCP异步电动机定子故障识别
现在大多数机器是用感应电动机驱动的。感应电动机由于各种原因而发生故障。这种故障多发生在定子上。通过测量电机的电流并将其与固定值进行比较,可以检测出任何故障。不同类型的故障表现出不同类型的电流分布。该电流的性质由电能质量分析仪测量,并转换成波形和频谱。通过仔细观察这些三相电流读数,人们可以预测一台机器何时即将发生故障。提出了一种基于定子电流分布(MSCP)的电机定子故障识别方法。
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