HAZOP analysis system compliant with equipment models based on SDG

Ken Isshiki, Yoshiomi Munesawa, Atsuko Nakai, Kazuhiko Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

It is important to assess the risk in chemical plants. HAZOP is widely used in the risk assessment to identify hazard. An automatic analysis system is developed to perform HAZOP effectively. In this study, semi-automatic analysis system was developed by using the Signed Directed Graph (SDG) as a deviation in the behavior of the propagation of equipment. Versatility of analysis is raised based on the propagation of deviation by adding the device in accordance with the rules. Our developed HAZOP analysis system is applied to one chemical process. And the future works for this study are explained.

Original languageEnglish
Title of host publicationRecent Trends in Applied Artificial Intelligence - 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Proceedings
Pages460-469
Number of pages10
DOIs
Publication statusPublished - Aug 16 2013
Event26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013 - Amsterdam, Netherlands
Duration: Jun 17 2013Jun 21 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7906 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013
CountryNetherlands
CityAmsterdam
Period6/17/136/21/13

Keywords

  • HAZOP analysis
  • Signed Directed Graph
  • hazard identification

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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