Electronics Optics & Control, Volume. 22, Issue 6, 93(2015)

Fault Identification of Satellite Power Systems Based on Integrated Wavelet Neural Network

WANG Dong1... ZHANG Shao-jie1, YIN Jing2 and WANG Li1 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(5)

    [2] [2] FRANK P M.Fault diagnosis in dynamics systems using analytical and knowledge-based redundancy:A survey and somenew results[J].Automatica,1990,26(3):459-474.

    [7] [7] MENGSHOEL O J,CHAVIRA M,CASCIO K,et al.Pro-babilistic model-based diagnosis:An electrical power system case study[J].IEEE Tansactions on Systems,Man,and Cybernetics-Part A:Systems and Humans,2010,40(5):874-885.

    [8] [8] QUTEISHAT A,LIM C P.A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification[J].Applied Soft Computing,2008,8(2):985-995.

    [9] [9] KU B Y,THOMAS R J,CHIOU C Y,et al.Power system dynamic load modeling using artificial neural networks[J].IEEE Transactions on Power Systems,1994,9(4):1868-1874.

    [10] [10] ABU-ELANIEN A E B,SALAMA M M A.A wavelet-ANN technique for locating switched capacitors in distribution systems[J].IEEE Transactions on Power Deli-very,2009,24(1):400-409.

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    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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    Paper Information

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    Received: Jun. 10, 2014

    Accepted: --

    Published Online: Jul. 10, 2015

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2015.06.022

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