Empirical Mode Decomposition of the stator start-up current for rotor fault diagnosis in asynchronous machines

I. Tsoumas, G. Georgoulas, A. Safacas, G. Vachtsevanos
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引用次数: 10

Abstract

This paper investigates a novel approach for rotor fault diagnosis in asynchronous machines. Empirical mode decomposition (EMD) is applied to the measured start-up current. More specifically, the space vector of the stator start-up current is decomposed into complex intrinsic mode functions (IMFs) in order to analyze the asynchronous machine's transient. It is shown that in the case of rotor fault a particular IMF arises which characterizes the presence of the fault. The instantaneous frequency and the amplitude of the IMF can be used for an efficient fault diagnosis.
用于异步电机转子故障诊断的定子启动电流经验模态分解
研究了一种异步电机转子故障诊断的新方法。将经验模态分解(EMD)应用于测量的启动电流。具体地说,将定子启动电流的空间矢量分解为复杂的内禀模态函数(IMFs),以分析异步电机的暂态。结果表明,在转子故障的情况下,出现了一个特定的IMF,它表征了故障的存在。IMF的瞬时频率和幅值可用于有效的故障诊断。
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