DocumentCode :
1778853
Title :
Design an Intelligent Fault Diagnostician IETM
Author :
Zhu Xingdong ; Huang Kui ; Fan Jiali ; Liu Chang
Author_Institution :
Naval Aeronaut. Eng. Acad., Qingdao, China
fYear :
2014
fDate :
18-20 Sept. 2014
Firstpage :
283
Lastpage :
286
Abstract :
In order to overcome the limitation of traditional information management system and fault diagnosis system, the intelligent fault diagnosis and IETM technologies were effectively integrated. A fault diagnosis strategy based on integrating fault tree analysis (FTA) and case-based reasoning (CBR) was employed in system design. The Mean Time To Repair was introduced to compute fault diagnosis order, and the improved probability parameter of bottom event was put forward and used to system design. The implementation method of system was given.
Keywords :
case-based reasoning; electronic engineering computing; fault diagnosis; fault trees; information management; maintenance engineering; probability; CBR; FTA; case-based reasoning; fault diagnosis system; fault tree analysis; information management system; intelligent fault diagnostician IETM technologies; interactive electronic technical manual; mean time to repair; system design; Artificial intelligence; Cognition; Databases; Educational institutions; Fault diagnosis; Fault trees; Maintenance engineering; Case-based reasoning; Fault diagnosis; Fault tree analysis; IETM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-6574-8
Type :
conf
DOI :
10.1109/IMCCC.2014.66
Filename :
6995036
Link To Document :
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