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A Combined Method Based on Expert System and BP Neural Network for UAV Systems Fault Diagnosis

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4 Author(s)
Lizhi Xiao ; Dept. of Inf. Countermeasure, Aviation Univ. of Air Force, Changchun, China ; Dexiang Sun ; Yuwei Liu ; Yong Huang

According to the complexity, variety and nonlinear mode of UAV system's faults, a combined method based on expert system and BP neural network was proposed for the diagnosis. Besides BP neural network, the design of the expert system based on BP neural network and its software implementation were depicted respectively. This method can overcome the insufficiency of traditional expert system such as lack of the mechanism of effective self-learning and self-adaption. Through the diagnosis example of telemetry & telecontrol system of UAV, the results show that the new expert system can diagnose UAV system effectively and have a good application prospect in the field of fault diagnosis.

Published in:

Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on  (Volume:3 )

Date of Conference:

23-24 Oct. 2010