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Research on the Fault Diagnosis Method of Equipment Functionally Significant Instrument Based on BP Neural Network

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Engineering Asset Management 2016

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Through BP neural network, a nonlinear mapping model between feature information and diagnosis result is proposed. The method is applied in diagnosing fault of equipment functionally significant instrument, which can fuse all kinds of information in the running process of the functionally significant instrument. For the supervisory architecture, first-sitting-weight and first-sitting-threshold for BP neural network are used. Genetic algorithm is applied in neural network optimization. At last, the method is applied in fault diagnosis of a transmission system. Through comparison between diagnosis results and real results, the method is validated.

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Author information

Authors and Affiliations

  1. Department of Technical Support Engineering, Academy of Armored Force Engineering, Beijing, 100072, China

    Xiang Zan & Shi-xin Zhang

  2. Teach Room of Voluntary Artillery, Academy of Nanjing Artillery, Nanjing, 102205, China

    Heng Gao

  3. Military Deputy Office of PLA in 674 Factory, Harbin, 150056, China

    Yang Zhang

  4. Troop No. 63960 of PLA, Beijing, 102205, China

    Chao-shuai Han

Authors
  1. Xiang Zan
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  2. Shi-xin Zhang
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  3. Heng Gao
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  4. Yang Zhang
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  5. Chao-shuai Han
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Corresponding author

Correspondence to Xiang Zan .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada

    Ming J. Zuo

  2. Brisbane, Queensland, Australia

    Lin Ma

  3. Asset Institute, Brisbane, Queensland, Australia

    Joseph Mathew

  4. Institute of Reliability Engineering, UESTC, Sichuan, China

    Hong-Zhong Huang

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© 2018 Springer International Publishing AG

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Cite this paper

Zan, X., Zhang, Sx., Gao, H., Zhang, Y., Han, Cs. (2018). Research on the Fault Diagnosis Method of Equipment Functionally Significant Instrument Based on BP Neural Network. In: Zuo, M., Ma, L., Mathew, J., Huang, HZ. (eds) Engineering Asset Management 2016. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-62274-3_31

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  • DOI: https://doi.org/10.1007/978-3-319-62274-3_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62273-6

  • Online ISBN: 978-3-319-62274-3

  • eBook Packages: EngineeringEngineering (R0)

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