• Electronics Optics & Control
  • Vol. 22, Issue 6, 93 (2015)
WANG Dong1, ZHANG Shao-jie1, YIN Jing2, and WANG Li1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2015.06.022 Cite this Article
    WANG Dong, ZHANG Shao-jie, YIN Jing, WANG Li. Fault Identification of Satellite Power Systems Based on Integrated Wavelet Neural Network[J]. Electronics Optics & Control, 2015, 22(6): 93 Copy Citation Text show less

    Abstract

    A fault identification scheme based on integrated wavelet neural networks was proposed to deal with the fault identification problem of the satellite power systems.Firstly,the critical data of the satellite power system was utilized to identify a certain class of failure group preliminarily.Secondly,characteristics of this type of fault group were studied,and corresponding wavelet neural network was constructed for the further fault identification.Finally,simulation for a class of satellite power system was conducted,and the result verified the effectiveness of the proposed method.
    WANG Dong, ZHANG Shao-jie, YIN Jing, WANG Li. Fault Identification of Satellite Power Systems Based on Integrated Wavelet Neural Network[J]. Electronics Optics & Control, 2015, 22(6): 93
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