An Autopilot Fault Diagnosis Method Based on Hybrid Case and Fault Trees

Abstract:

Targeted at the faults of autopilot in fly-by-wire flight control system, a method based on integration of case and fault tree is proposed to quickly diagnose faults and provide the maintenance of autopilot system. In the process of diagnosis, according to the characteristics of fault information about autopilot system, the Build-in-test data was used to quickly search similar fault in the case base and accurately point out the fault location. For complex fault, the fault tree method is used to traverse to complete the reasoning and diagnosis procedure, and simultaneously add the results to the case base. The simulation results show the method is achieved.

• Periodical: Applied Mechanics and Materials (Volumes 373-375)
• Pages: 829-832
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.373-375.829
• Online since: August 2013
• Authors: Jing Kai Zhang, Peng Hui Li, Xiao Xiong Liu, Wei Guo Zhang
• Keywords: Autopilot, Case-Based Reasoning (CBR), Fault Diagnosis, Fault Tree

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