DocumentCode :
511132
Title :
Application of Fault Tree Knowledge in Reasoning of Safety Risk Assessment Expert System in Petrochemical Industry
Author :
Song, Wenhua ; Shi, Huifang ; Li, Qinggong
Author_Institution :
Firefighting & Safety Eng. Inst., Tianjin Polytech. Univ., Tianjin, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
167
Lastpage :
170
Abstract :
In studying the safety risk assessment expert system in petrochemical industry, the conception of fault tree based on binary decision diagrams (BDD) is proposed for fault tree analysis. Taking the boiler fouling explosion for example, the fault tree model and BDD model are built. On the basis of the fault tree model and BDD model, the stress is put on the knowledge representation (KR) of BDD based fault tree in the safety risk assessment expert system and the fault tree knowledge based mechanism of reasoning in this paper.
Keywords :
binary decision diagrams; boilers; expert systems; fault trees; inference mechanisms; knowledge representation; maintenance engineering; petrochemicals; production engineering computing; risk management; safety systems; BDD model; binary decision diagram; boiler fouling explosion; fault tree analysis; fault tree knowledge; knowledge representation; petrochemical industry; reasoning; safety risk assessment expert system; Binary decision diagrams; Boolean functions; Chemical industry; Data structures; Expert systems; Fault trees; Petrochemicals; Risk analysis; Risk management; Safety; binary decision diagrams; expert system; fault tree knowledge; knowledge representation; reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Engineering and Software Engineering, 2009. KESE '09. Pacific-Asia Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3916-4
Type :
conf
DOI :
10.1109/KESE.2009.51
Filename :
5383592
Link To Document :
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