A structural decomposition-based diagnosis method for dynamic process systems using HAZID information

A. Tóth, Á Werner-Stark, K. Hangos

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

A novel diagnosis method is proposed in this paper that uses the results of the blended HAZID analysis extended to the dynamic case of process systems controlled by operational procedures. The algorithm is capable of finding fault root causes in process systems using nominal and observed possible faulty operational procedure execution traces. The algorithm uses the structural decomposition of the process system and its component-level dynamic HAZID (P-HAZID) tables and executes the diagnosis component-wise by first decomposing the observed execution traces, and then assembling the diagnosis results. The exact structure of the algorithm is also discussed, followed by two case studies on which its operation is demonstrated.

Original languageEnglish
Pages (from-to)97-104
Number of pages8
JournalJournal of Loss Prevention in the Process Industries
Volume31
Issue number1
DOIs
Publication statusPublished - 2014

Fingerprint

Decomposition
degradation
methodology
case studies
Dynamic process
Fault

Keywords

  • Causality
  • Failure
  • Hazard identification
  • Model-based diagnosis
  • Operational procedure
  • Process systems

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research
  • Chemical Engineering(all)
  • Energy Engineering and Power Technology
  • Food Science

Cite this

A structural decomposition-based diagnosis method for dynamic process systems using HAZID information. / Tóth, A.; Werner-Stark, Á; Hangos, K.

In: Journal of Loss Prevention in the Process Industries, Vol. 31, No. 1, 2014, p. 97-104.

Research output: Contribution to journalArticle

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