Abstract
In this paper, a new approach which combines Chi-Square Test and Fuzzy ARTMAP neural network mapping is proposed to Fault Diagnosis of Integrated Navigation System. 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 Fuzzy-ARTMAP neural networks. The fault magnitude and fault occurring time can be identified. This may be useful for compensating the effect of fault on navigation accuracy. Simulation results show the effectiveness of the proposed method.
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