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

Tóth, A and Starkné Werner, Ágnes and Hangos, Katalin (2014) A structural decomposition-based diagnosis method for dynamic process systems using HAZID information. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 31 (1). pp. 97-104. ISSN 0950-4230 10.1016/j.jlp.2014.07.005


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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. © 2014 Elsevier Ltd.

Item Type: Article
Uncontrolled Keywords: Industrial engineering; Process system; Operational procedures; Model based diagnosis; Loss prevention; Computer system recovery; Process systems; Operational procedure; Model-based diagnosis; hazard identification; FAILURE; CAUSALITY
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Systems and Control Lab
SWORD Depositor: MTMT Injector
Depositing User: MTMT Injector
Date Deposited: 26 Jan 2015 11:33
Last Modified: 16 Feb 2016 19:22
URI: https://eprints.sztaki.hu/id/eprint/8091

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