Quantitative HAZOP analysis for gas turbine compressor unit based on fuzzy information fusion theory

Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice

Volumn 29, Issue 8, 2009, Pages 153-159

  Hu, Jin Qiu ^a   Zhang, Lai Bin ^a   Liang, Wei ^a   Wang, Zhao Hui ^a  

^a CHINA UNIVERSITY OF PETROLEUM   (China)

Author keywords

D S evidence theory; Fuzzy information fusion; Gas turbine compressor unit; HAZOP

Indexed keywords

D-S EVIDENCE THEORY; DIRECTED GRAPHS; FUZZY INFORMATION; FUZZY INFORMATION FUSION; GAS TURBINE COMPRESSOR UNIT; GAS TURBINE COMPRESSORS; HAZOP; KNOWLEDGE MODEL; PIPE-LINE SYSTEMS; QUALITATIVE ANALYSIS; QUANTITATIVE INFORMATION; QUANTITATIVE METHOD; REASONING METHODS; SAFETY MEASUREMENTS; SYSTEM SAFETY; TRADITIONAL COMPUTERS;

ACCIDENT PREVENTION; COMPRESSORS; DECISION THEORY; ENGINES; GAS TURBINES; GRAPH THEORY; HAZARDS; INFORMATION FUSION; QUALITY CONTROL; RELIABILITY ANALYSIS; RELIABILITY THEORY; SYSTEMS ENGINEERING; TURBOMACHINERY; UNCERTAINTY ANALYSIS;

COMPRESSIBILITY OF GASES;

EID: 70249098900     PISSN: 10006788     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. Lv N, Wang X. SDG based heating furnace HAZOP and fault diagnosis[J]. Journal of System Simulation, 2006, 18(6): 1660-1663.
2. Li A F, Xia T, Zhang B K, et al. Computer aided HAZOP analysis based on SDG[J]. Journal of System Simulation, 2003, 15(10): 1394-1397.
3. Liu Y, Zhang B K, Wu C G. A new method of fuzzy reasoning based computer-aided SDG-HAZOP[J]. Computer Engineering and Applications, 2006(11): 201-204.
4. Liang J. Study and realization on chemical HAZOP expert system based on Petri net modeling[D]. Beijing University of Chemical Technology, 2007.
5. Faisal I K, Abbasi S A. TOPHAZOP: A knowledge-based software tool for conducting HAZOP in a rapid, efficient yet inexpensive manner[J]. Journal of Loss Prevention in Process Industries, 1997, 10(5-6): 333-343.
6. Liu Y. The research of SDG-HAZOP method basing on fuzzy reasoning[D]. Beijing University of Chemical Technology, 2006.
7. Liu M H, Xiao D Y. Fault diagnosis method based on SDG model and fuzzy fusion[J]. Control Engineering of China, 2006, 13(1): 10-14.
8. Cao B Y. Applied Fuzzy Mathematics and System[M]. Beijing: Science Press, 2005.
9. Yang L J, Yu H. Multi-source Information Fusion Theory and Application[M]. Beijing: Beijing University of Posts and Telecommunication Press, 2006.