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On Fuzzy Diagnosis Model of Plane’s Revolution Swing Fault and Simulation Researches

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Book cover Advances in Swarm Intelligence (ICSI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6146))

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Abstract

Considering the fact that traditional fault diagnosis can’t absorb human’s experiences well, this paper simulated the procedure of expert’s interference with fuzzy interference to build a fault diagnosis model, and use fuzzy network to improve the model. The result of simulation proved that this model can absorb the experiences of human and make accurate judgments; the trained fuzzy network has the same function and can reach the self-learning demand.

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References

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Author information

Authors and Affiliations

  1. Department of Control Engineering of Naval Aeronautical and Astronautical University, Yantai, 264001, P.R. China

    Dongcai Qu, Wanli Dong & Ruizhi Zhang

  2. Department of Scientific Research of Naval Aeronautical and Astronautical University, Yantai, 264001, P.R. China

    Jihong Cheng

Authors
  1. Dongcai Qu
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  2. Jihong Cheng
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  3. Wanli Dong
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  4. Ruizhi Zhang
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Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Department of Machine Intelligence, Peking University, 100871, Beijing, China

    Ying Tan

  2. Research and Postgraduate Office, Xi’an Jiaotong-Liverpool University, 215123, Suzhoum, China

    Yuhui Shi

  3. Department of Electrical and Computer Engineering, Engineering Drive 3, 4 Engineering Drive 3, National University of Singapore, 117576, Singapore

    Kay Chen Tan

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© 2010 Springer-Verlag Berlin Heidelberg

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Qu, D., Cheng, J., Dong, W., Zhang, R. (2010). On Fuzzy Diagnosis Model of Plane’s Revolution Swing Fault and Simulation Researches. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13498-2_4

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  • DOI: https://doi.org/10.1007/978-3-642-13498-2_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13497-5

  • Online ISBN: 978-3-642-13498-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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