Abstract Nowadays detection of deterioration of electrical motors is an important topic of research. Vibration signals often carry diagnostic information of a motor. The authors proposed a setup for the analysis of vibration signals of three-phase induction motors. In this paper rotor fault diagnostic techniques of a three-phase induction motor (TPIM) were presented. The presented techniques used vibration signals and signal processing methods. The authors analyzed the recognition rate of vibration signal readings for 3 states of the TPIM: healthy TPIM, TPIM with 1 broken bar, and TPIM with 2 broken bars. In this paper the authors described a method of the feature extraction of vibration signals Method of Selection of Amplitudes of Frequencies – MSAF-12. Feature vectors were obtained using FFT, MSAF-12, and mean of vector sum. Three methods of classification were used: Nearest Neighbor (NN), Linear Discriminant Analysis (LDA), and Linear Support Vector Machine (LSVM). The obtained results of analyzed classifiers were in the range of 97.61 % – 100 %.

中文翻译：

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使用振动信号检测三相感应电动机的劣化

摘要 目前，电机老化检测是一个重要的研究课题。振动信号通常携带电机的诊断信息。作者提出了一种用于分析三相感应电机振动信号的装置。本文介绍了三相感应电动机 (TPIM) 的转子故障诊断技术。所提出的技术使用振动信号和信号处理方法。作者分析了 TPIM 的 3 种状态的振动信号读数的识别率：健康的 TPIM、带有 1 个断条的 TPIM 和带有 2 个断条的 TPIM。在本文中，作者描述了一种振动信号特征提取方法——频率幅度选择方法——MSAF-12。特征向量是使用 FFT、MSAF-12 和向量总和的平均值获得的。使用了三种分类方法：最近邻 (NN)、线性判别分析 (LDA) 和线性支持向量机 (LSVM)。分析分类器获得的结果在 97.61 % – 100 % 的范围内。