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首页> 外文会议>International Conference on Control, Instrumentation, Energy Communication >Authentication of unknown fault for a three phase induction motor by stator current spectral analysis
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Authentication of unknown fault for a three phase induction motor by stator current spectral analysis

机译：通过定子电流频谱分析对三相异步电动机的未知故障进行鉴定

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The present work has been carried out aiming to authenticate the unknown fault for three phase induction motor using stator current spectral analysis and minimum distance nearest neighborhood classification method. Fault identification is essential task to reduce downtime cost in industry caused by unscheduled shut down due to failure of machines. In this work three phase stator current spectrums have been determined using raw data (amplitude vs time) which has been collected from different known types of faulty machines, one healthy machine and one unknown faulty machine running as the prime mover of a dc generator. With the help of Matlab program the scatter graphs (peak amplitude vs frequency) of three phase currents have been plotted and the relative distances have been calculated from scatter plot of healthy and different faulty machines and one unknown faulty machine. Applying nearest neighborhood rule the unknown fault has been has authenticated and also classified as one of the known type of faults. Comparing the distance matrices it has been concluded about the severity and criticality of faults.
机译：目前的工作旨在利用定子电流谱分析和最小距离最近邻分类方法对三相感应电动机的未知故障进行鉴定。故障识别是减少因机器故障导致的计划外停机所导致的停机成本的一项重要任务。在这项工作中，已使用原始数据（幅度与时间）确定了三相定子电流频谱，原始数据是从不同类型的故障电机，一台运行正常的电机和一台未知的故障电机（作为直流发电机的原动机）运行中收集的。借助Matlab程序，已绘制了三相电流的散点图（峰值幅度与频率），并根据正常和不同故障机器以及一台未知故障机器的散点图计算了相对距离。应用最近邻规则，已对未知故障进行了身份验证，也将其分类为已知故障类型之一。通过比较距离矩阵，可以得出有关故障严重程度和严重性的结论。

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