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