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

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.

A Behaviour Model for Risk Assessment of Complex Systems Based on HAZOP and Coloured Petri Nets

“…Thereafter, the same authors developed an automated HAZOP analysis tool for chemical processes called PHASUITE and based on Petri Nets [4]. In the past few years, researchers have concentrated on combining HAZOP with dynamic simulation [5], with Signed Directed Graph [6] or with techniques able to catch the structural aspects of process plants, such as Digraphs [7], D-higraphs [8], Case-Based Reasoning, [9], and Cause-Implication Diagrams [10,11]. Most recent studies, on HAZOP methodology and its automation, was done by Lotero-Herranz and Galàn [12].…”