| Citation: | ZHANG Jingwen, XIONG Lixin, MA Hongchang, et al. Fault diagnosis of switched reluctance motor power converter based on VMD-MPE[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(6): 1022-1029. doi: 10.13700/j.bh.1001-5965.2020.0696(in Chinese)
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Fault diagnosis is an important technology to improve the reliability of the switched reluctance motor (SRM) speed control system. To address the non-linear and unstable fault signal of the switched reluctance motor power converter, and the problem that effective information is easily covered by noise, a new fault feature extraction method is proposed. The DC bus current is subjected to variational mode decomposition to obtain several intrinsic mode functions. The average value of the permutation entropy of the multi-scale effective modal components is taken as the feature vector, and is input into the support vector machine classifier for fault identification. In order to verify the feasibility of the proposed algorithm, a simulation model was established and compared with traditional fault diagnosis algorithms such as wavelet analysis; meanwhile, a switched reluctance motor experiment bench was built to test the open circuit and short circuit fault states. The simulation and experimental results show that the method proposed in this paper can reduce the influence of noise and improve the accuracy of fault identification rate.
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