Neural networks-based scheme for system failure detection and diagnosis

Authors:
Y. M. Chen;M. L. Lee
Affiliations:
Department of Industrial Engineering and Management, Yuan Ze University Chung-Li, Tao-Yuan, Taiwan;Department of System Engineering, Chung Cheng Institute of Technology, Ta-His, Tao-Yuan 335, Taiwan
Venue:
Mathematics and Computers in Simulation
Year:
2002

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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.