Because of considerable importance of induction motors in different industries, fault detection of these motors has gained importance in the literature. One of the attractive approaches in this regard is motor current signature analysis. Thanks to simplicity and its lower cost, this method has been preferred compared to the other methods. In this paper, first, a model in which stator turn fault was taken into account is presented. Then, by stator current analysis using empirical mode decomposition (EMD), intrinsic-mode functions of the signals are derived. By selection of the calculated IMF in the first row of the EMD, its instantaneous frequency (IF) is estimated using adaptive IF estimation. Variation of the estimated IF is utilized for detection of different stator turn faults. The method is evaluated using plenty of simulations and some experiments.

中文翻译：

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利用瞬时频率概念检测感应电机定子短路故障


由于感应电机在不同行业中相当重要，因此这些电机的故障检测在文献中变得越来越重要。在这方面有吸引力的方法之一是电机电流特征分析。由于简单且成本较低，与其他方法相比，该方法更受青睐。本文首先提出了考虑定子匝故障的模型。然后，通过使用经验模态分解 (EMD) 的定子电流分析，导出信号的本征模函数。通过选择 EMD 第一行中计算出的 IMF，使用自适应 IF 估计来估计其瞬时频率 (IF)。估计 IF 的变化用于检测不同的定子匝故障。该方法通过大量模拟和一些实验进行了评估。