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Neural networks-based scheme for system failure detection and diagnosis

Author

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  • Chen, Y.M.
  • Lee, M.L.

Abstract

In this paper, the neural networks of fault tolerant control scheme in flight control is presented. The scheme can be broken up into three steps: fault detection, diagnosis, and accommodation. Particularly emphasis is placed on fault detection and diagnosis employing neural networks in this paper. The testing of the scheme is illustrated through F-16 aircraft model for an actuator failure.

Suggested Citation

  • Chen, Y.M. & Lee, M.L., 2002. "Neural networks-based scheme for system failure detection and diagnosis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 58(2), pages 101-109.
    • Handle: RePEc:eee:matcom:v:58:y:2002:i:2:p:101-109
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    Cited by:

    1. Luh, Guan-Chun & Cheng, Wei-Chong, 2005. "Immune model-based fault diagnosis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 67(6), pages 515-539.
    2. Dimitris Drikakis & Talib Dbouk, 2022. "The Role of Computational Science in Wind and Solar Energy: A Critical Review," Energies, MDPI, vol. 15(24), pages 1-20, December.

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