Brief Fuzzy artmap neural network and its application to fault diagnosis of navigation systems

Authors:
H. Y. Zhang;C. W. Chan;K. C. Cheung;Y. J. Ye
Affiliations:
Department of Automatic Control, Beijing University of Aeronautics and Astronautics, Beijing 100083, People's Republic of China;Department of Mechanical Engineering, University of Hong Kong, Pokfulam Road, Hong Kong;Department of Mechanical Engineering, University of Hong Kong, Pokfulam Road, Hong Kong;Department of Automatic Control, Beijing University of Aeronautics and Astronautics, Beijing 100083, People's Republic of China
Venue:
Automatica (Journal of IFAC)
Year:
2001

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Abstract

In this paper, a new approach that combines Chi-Square Test and Fuzzy ARTMAP (FAM) neural network mapping is proposed to Fault Diagnosis of Integrated Navigation Systems. State Chi-Square Test on whole state vector and individual state is performed to detect faults. Then, the pattern of State Chi-Square Test result is used to isolate and identify faults by using two separated FAM networks respectively. The fault magnitude and fault occurring time can be identified by the second FAM.