DocumentCode :
3739970
Title :
A Fault Diagnosis Expert System Based on Aircraft Parameters
Author :
Qi Yao;Jian Wang;Guigang Zhang
Author_Institution :
High-tech Innovation Center, Inst. of Autom., Beijing, China
fYear :
2015
Firstpage :
314
Lastpage :
317
Abstract :
Nowadays the mode of periodic maintenance and routine check are adopted as the dominating maintenance style of domestic aircraft. However, this mode requires a large number of experienced professionals, resulting in the waste of manpower and resources. In this paper, taking the flight data of a certain type of aircraft as the main data source, a fault diagnosis reasoning expert system based on failure mode is proposed through extracting the fault symptom information and the system failure mode. The main work of this system is as following: (1) In this system, The fault tree analysis (FTA) is adopted by the fault diagnosis expert system for fault detection of the aircraft. The FTA can reduce the difficulty of diagnostic reasoning and knowledge acquisition. By combining production-rules and the minimum cuts of the fault tree, the fault mode of the aircraft can be effectively extracted, An optimized reasoning engine is built based on the fault mode, which utilizes the forward reasoning pattern for logical inference. (2) A fault diagnosis expert system, which is based on failure mode, is developed with MFC frame by using MySQL as the database on the Windows 7 platform. This system has been successfully applied to a certain type of domestic aircraft.
Keywords :
"Fault diagnosis","Aircraft","Expert systems","Fault trees","Engines","Databases","Maintenance engineering"
Publisher :
ieee
Conference_Titel :
Web Information System and Application Conference (WISA), 2015 12th
Print_ISBN :
978-1-4673-9371-3
Type :
conf
DOI :
10.1109/WISA.2015.21
Filename :
7396657
Link To Document :
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