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首页> 外文期刊>Archives of acoustics >Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier
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Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier

机译：基于线谱频率和K近邻分类器的声信号分析诊断同步电动机

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摘要

In industrial processes electrical motors are serviced after a specific number of hours, even if there is a need for service. This led to the development of early fault diagnostic methods. Paper presents early fault diagnostic method of synchronous motor. This method uses acoustic signals generated by synchronous motor. Plan of study of acoustic signal of synchronous motor was proposed. Two conditions of synchronous motor were analyzed. Studies were carried out for methods of data processing: Line Spectral Frequencies and K-Nearest Neighbor classifier with Minkowski distance. Condition monitoring is useful to protect electric motors and mining equipment. In the future, these studies can be used in other electrical devices.
机译：在工业过程中，即使需要维修，也要在一定小时后对电动机进行维修。这导致了早期故障诊断方法的发展。提出了同步电动机的早期故障诊断方法。该方法使用同步电动机产生的声音信号。提出了同步电动机声信号的研究计划。分析了同步电动机的两种情况。研究了数据处理方法：线谱频率和Minkowski距离的K最近邻分类器。状态监视对于保护电动机和采矿设备很有用。将来，这些研究可用于其他电气设备。

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