DocumentCode :
2495688
Title :
Aircraft fuel system diagnostic fault detection through expert system
Author :
Long, Hao ; Wang, Xinmin
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
7104
Lastpage :
7107
Abstract :
For the problem of fault diagnosis of aircraft fuel system, a new method using CLIPS to build expert system is presented in this paper. By building knowledge base, infer engine and using CB tool, the relevant software environment is set up. Consequently the fault diagnostic system of aircraft fuel system is successfully developed. The emulation results prove that the intelligence of expert system works perfectly and the faults of fuel system are diagnosed exactly and fast, furthermore, effective methods of reconstruction can be brought forward in the expert system. It is entirely practicable in aircraft fuel fault diagnosis system.
Keywords :
aerospace computing; aircraft; diagnostic expert systems; fault diagnosis; fuel systems; inference mechanisms; C++ Builder; CB tool; CLIPS; aircraft fuel system; diagnostic fault detection; expert system; fault diagnosis; infer engine; knowledge base; Aircraft manufacture; Aircraft propulsion; Diagnostic expert systems; Emulation; Engines; Fault detection; Fault diagnosis; Fuels; Intelligent systems; Software tools; Aircraft Fuel System; Clips; Expert System; Fault Diagnosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594020
Filename :
4594020
Link To Document :
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