An Empirical Demodulation for Electrical Fault Detection in Induction Motors

作者：Batista Fabiano Bianchini; Monteiro Lamim Filho Paulo Cezar; Pederiva Robson; Diniz Silva Vinicius Augusto

来源：IEEE Transactions on Instrumentation and Measurement, 2016, 65(3): 559-569.

DOI：10.1109/TIM.2015.2509398

• Demodulation
• envelope detection
• fault diagnosis
• Hilbert transform (HT)
• induction motors
• signal processing algorithms

Signal demodulation is a fundamental procedure in many situations during a spectral analysis. Through an envelope analysis, it becomes possible to identify fault frequencies that are embedded in a modulated signal and that are not clearly visible only by directly applying some signal processing techniques such as the Fourier transform and filtering. In this paper, a very simple and empirical technique for demodulation is proposed. It is based only on the analysis of local extremes from a modulated time sequence to find a new time sequence that carries the wanted relevant fault data. The method of analysis is a good alternative tool for electrical fault detection in induction motors. The numerical and experimental results demonstrate the effectiveness of the proposed technique.

• 出版日期2016-3