|Table of Contents|

[1] Zhao Lindu,. Integrated automatic HAZOP analysisand fault diagnosis based on Petri net [J]. Journal of Southeast University (English Edition), 2003, 19 (3): 240-245. [doi:10.3969/j.issn.1003-7985.2003.03.008]
Copy

Integrated automatic HAZOP analysisand fault diagnosis based on Petri net()
Share:

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
19
Issue:
2003 3
Page:
240-245
Research Field:
Mechanical Engineering
Publishing date:
2003-09-30

Info

Title:
Integrated automatic HAZOP analysisand fault diagnosis based on Petri net
Author(s):
Zhao Lindu
College of Economics and Management, Southeast University, Nanjing 210096, China
Keywords:
hazard and operability fault diagnosis Petri net expert system knowledge representation
PACS:
TH165+.3;TP18
DOI:
10.3969/j.issn.1003-7985.2003.03.008
Abstract:
Based on systematically analyzing the procedure of hazard and operability(HAZOP)study, the author introduces a method of modeling fault diagnosis with the Petri net with fuzzy colors, in which the fuzzy information can be represented effectively in the process of analysis. The author proposes the architecture of a knowledge base, which integrates HAZOP analysis and fault diagnosis, and provides the conditions for constructing the knowledge-based expert system. The author also presents a method of knowledge representation for on-line HAZOP analysis and on-line fault diagnosis is presented based on the technology of Petri net with fuzzy colors, which establishes a technological fundamental for integrating the automatic HAZOP analysis and fault diagnosis.

References:

[1] Mushtaq F, Chung P W H. A systematic HAZOP procedure for batch processes, and its application to pipeless plants [J]. Journal of Loss Prevention in the Process Industries, 2000, 13(1):41-48.
[2] Wang Yifeng, Wu Jeryu, Chang Chueitin. Automatic hazard analysis of batch operations with Petri nets [J]. Reliability Engineering and System Safety, 2002, 76(1):91-104.
[3] Leone H. A knowledge-based system for HAZOP studies: The knowledge representation structure [J]. Computers and Chemical Engineering, 1996, 20(Supp):S369-S374.
[4] Kuo D H, Hsu D S, Chang C T. A prototype for integrating automatic fault tree/event tree/HAZOP analysis [J]. Computers and Chemical Engineering, 1997, 21(Supp):S923-S928.
[5] Khan, Faisal I, Abbasi S A. Mathematical model for HAZOP study time estimation [J]. Journal of Loss Prevention in the Process Industries, 1997, 10(4):249-257.
[6] Swann C D, Preston M L. Twenty-five years of HAZOPs [J]. Journal of Loss Prevention in the Process Industries, 1995, 8(6):349-353.
[7] Venkatasubramanian V, Zhao Jinsong, Viswanathan S. Intelligent systems for HAZOP analysis of complex process plants [J]. Computers and Chemical Engineering, 2000, 24(9):2291-2302.
[8] Graf H, Schmidt-Traub H. Early hazard identification of chemical plants with statechart modeling techniques [J]. Safety Science, 2000, 36(1):49-67.
[9] Srinivasan R, Venkatasubramanian V. Petri net-digraph models for automating HAZOP analysis of batch process plants [J]. Computers and Chemical Engineering, 1996, 20(Supp):S719-S725.
[10] Zhao Zhigang, Lu Huixian, Qian Jixin. The study of novel algorithm of fault diagnosis with Petri net [J]. Computer Engineering and Applications, 2003, 39(1):86-88.(in Chinese)
[11] Zhao Lindu. Fault diagnostic technology of large-scale mechanical and electronic system [M]. Beijing: China Sinopec Publishing Company, 2001.(in Chinese)
[12] Chen Yubao, Xia Jiqiang, Wu Xueli. Study on the application of Petri nets to fault diagnosis [J]. China Mechanical Engineering, 2000, 11(12):1386-1389.(in Chinese)
[13] Ding Caihong, Jiang Xingwei, Huang Wenhu. Behaviour Petri model based diagnostic inference [J]. Journal of Harbin Institute of Technology, 2001, 33(2):158-161.(in Chinese)
[14] Srinivasan R, Venkatasubramanian V. Automating HAZOP analysis of batch chemical plants I: the knowledge representation framework [J]. Computers and Chemical Engineering, 1998, 22(9):1345-1355.
[15] Srinivasan R, Venkatasubramanian V. Automating HAZOP analysis of batch chemical plants II: algorithms and application [J]. Computers and Chemical Engineering, 1998, 22(9):1357-1370.
[16] Schubach S. A modified computer hazard and operability study procedure [J]. Journal of Loss Prevention in the Process Industries, 1997, 10(5, 6): 303-307.
[17] Bartolozzi V, Castiglione L, Picciotto A, et al. Qualitative models of equipment units and their use in automatic HAZOP analysis[J]. Reliability Engineering and System Safety, 2000, 70(1):49-57.
[18] Srinivasam R, Dimitriadis V D, Shah N, Venkatasubramanian V. Integrating knowledge-based and mathematical programming approaches for process safety verification [J]. Computers and Chemical Engineering, 1997, 21(Supp):S905-S910.
[19] Holger Graf, Henner Schmidt-Traub. An integrated approach to early process hazard identification of continuous and batch plants with statechart modeling and simulation [J]. Computers and Chemical Engineering, 2001, 25(1): 61-72.
[20] Cagno E, Caron F, Mancini M. Risk analysis in plant commissioning: the multilevel HAZOP [J]. Reliability Engineering and System Safety, 2002, 77(3):.309-323.
[21] Ouali M S, Ait-Kadi D, Rezg N. Fault diagnosis model based on Petri net with fuzzy colors [J]. Computers and Industrial Engineering, 1999, 37(1, 2):173-176.
[22] Khan F I, Abbasi S A. Towards automation of HAZOP with a new tool expertop [J]. Environmental Modelling and Software, 2000, 15(1): 67-77.
[23] Cocchiara M, Bartolozzi V, Picciotto A, et al. Integration of interlock system analysis with automated HAZOP analysis [J]. Reliability Engineering and System Safety, 2001, 74(1):99-105.
[24] Zhao Jinsong, Viswanathan S, Zhao Chunhua, et al. Computer-integrated tools for batch process development [J]. Computers and Chemical Engineering, 2000, 24(2-7):1529-1533.
[25] Vaidhyanathan R, Venkatasubramanian V. Experience with an expert system for automated HAZOP analysis [J]. Computers and Chemical Engineering, 1996, 20(Supp):S1589-S1594.
[26] Miller D C, Josephson J R, Elsass M J, et al. Sharable engineering knowledge databases for intelligent system applications [J]. Computers and Chemical Engineering, 1997, 21(Supp):S77-S82.
[27] Ruiz D, Canton J, Nougues J M, et al. On-line fault diagnosis system support for reactive scheduling in multipurpose batch chemical plants [J]. Computers and Chemical Engineering, 2001, 25(4-6):829-837.
[28] Ruiz D, Nougues J M, Zuly Calderon, et al. Neural network based framework for fault diagnosis in batch chemical plants [J]. Computers and Chemical Engineering, 2000, 24(2-7):777-784.
[29] Khan F I, Amyotte P R. Inherent safety in offshore oil and gas activities: a review of the present status and future directions [J]. Journal of Loss Prevention in the Process Industries, 2002, 15(4):279-289.
[30] Arthur M Dowell III. Layer of protection analysis for determining safety integrity level [J]. ISA Transactions, 1998, 37(3):55-165.

Memo

Memo:
Biography: Zhao Lindu(1965—), male, doctor, professor, ldzhao@seu.edu.cn.
Last Update: 2003-09-20