Volume 39 Issue 4
Apr.  2013
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Wang Xin, Zhou Yuanjun, Ma Qishuanget al. Fault detection and identification for dual-redundant BLDCM system using FFT algorithm and expert system approach[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(4): 564-568. (in Chinese)
Citation: Wang Xin, Zhou Yuanjun, Ma Qishuanget al. Fault detection and identification for dual-redundant BLDCM system using FFT algorithm and expert system approach[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(4): 564-568. (in Chinese)

Fault detection and identification for dual-redundant BLDCM system using FFT algorithm and expert system approach

  • Received Date: 31 May 2012
  • Publish Date: 30 Apr 2013
  • A scheme was proposed to detect and identify faults of a dual-redundant brushless DC motor (BLDCM) system, in which high reliability and wide speed range control were required. In order to eliminate the effects of different speeds and different loads from the frequency spectrum, both of the existing current signals in each channel were processed and normalized by fast Fourier transform (FFT) algorithm. And then, a rule-based expert system provided an effective identification approach for various motor, sensor and circuit faults. Experimental results show that main faults of this BLDCM system can be correctly identified even with unexpected noise. This approach needs no more extra devices, and is proved as fast, and easy to use for the proposed BLDCM system.

     

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