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