DocumentCode :
2869612
Title :
Inference Engine Design of Expert System Based on Blackboard Model and Fault Tree
Author :
WenBin, Chen ; XiaoLing, Liu ; Yu, Fang ; Jian, Zhang
Author_Institution :
Sch. of Comput. Sci., Southwest Pet. Univ., Chengdu, China
Volume :
1
fYear :
2009
fDate :
18-19 July 2009
Firstpage :
18
Lastpage :
20
Abstract :
According to the characteristics and rules of fault diagnosis expert system, a network-like fault tree is designed; adopting blackboard model and the permanent memory technology, the express inference engine algorithm of fault diagnosis expert system is realized. The inference engine has been applied to an aircraft fault diagnosis expert system. With the practical application test, the engine satisfies the requirements of inference speed and accuracy.
Keywords :
blackboard architecture; expert systems; fault diagnosis; fault trees; inference mechanisms; aircraft fault diagnosis expert system; blackboard model; express inference engine algorithm; inference engine design; network-like fault tree; permanent memory technology; Algorithm design and analysis; Communication system control; Control systems; Diagnostic expert systems; Engines; Expert systems; Fault diagnosis; Fault trees; Knowledge engineering; System testing; blackboard; fault tree; inference engine; rule;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
Type :
conf
DOI :
10.1109/APCIP.2009.12
Filename :
5196984
Link To Document :
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