Knowledge-based diagnosis of process systems using procedure HAZID information

Ágnes Werner-Stark, Erzsébet Németh, Katalin M. Hangos

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

1 Citation (Scopus)

Abstract

Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state operation. In order to extend this approach for transient operating conditions controlled by operating procedures, the notion of nominal input-output event sequences of qualitative signals has been introduced, and the deviations used in the procedure HAZID analysis have been defined therefrom. The diagnosis can then be performed algorithmically by matching the deviation sequences of the observed input-output event sequences and the nominal ones generated by qualitative dynamic models. The concepts and methods are illustrated using a simple case study consisting of a simple tank, controlled by an operating procedure.

Original languageEnglish
Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Proceedings
Pages385-394
Number of pages10
EditionPART 3
DOIs
Publication statusPublished - Sep 29 2011
Event15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011 - Kaiserslautern, Germany
Duration: Sep 12 2011Sep 14 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume6883 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011
CountryGermany
CityKaiserslautern
Period9/12/119/14/11

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Keywords

  • Process systems
  • discrete events
  • hazard identification
  • operating procedures
  • qualitative model

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Werner-Stark, Á., Németh, E., & Hangos, K. M. (2011). Knowledge-based diagnosis of process systems using procedure HAZID information. In Knowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Proceedings (PART 3 ed., pp. 385-394). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6883 LNAI, No. PART 3). https://doi.org/10.1007/978-3-642-23854-3_41