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

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 fa...

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Bibliographic Details
Published in:Journal of loss prevention in the process industries 2014-09, Vol.31, p.97-104
Main Authors: Tóth, A., Werner-Stark, Á., Hangos, K.M.
Format: Article
Language:English
Subjects:
Algorithms
Causality
Failure
Fault diagnosis
Hazard identification
Model-based diagnosis
Occupational hazards
Operational procedure
Process systems
Processes
Risk assessment
Test systems
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Summary: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. •A novel diagnostic algorithm is proposed for diagnosing process systems during execution of operational procedures.•The algorithm is based on the results of a blended HAZID analysis extended for the case of following operational procedures.•The method can be used to find possible root causes during execution of operational procedures.•A structural decomposition of the diagnostic task is proposed to tackle complexity.•A serial and a parallel connected simple process systems are used to demonstrate the operation of the algorithm.
ISSN:0950-4230
1873-3352
DOI:10.1016/j.jlp.2014.07.005