On risk-based maintenance: A comprehensive review of three approaches to track the impact of consequence modelling for predicting maintenance actions

Leonardo Leoni, Filippo De Carlo*, Norwegian University of Science Technology, Fabio Sgarbossa, Ahmad BahooToroody

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Since gas plants are progressively increasing near urban areas, a comprehensive tool to plan maintenance and reduce the risk arising from their operations is required. To this end, a comparison of three Risk-Based Maintenance methodologies able to point out maintenance priorities for the most critical components, is presented in this paper. Moreover, while the literature is mostly focused on probabilistic analysis, a particular attention is directed towards consequence analysis throughout this study. The first developed technique is characterized by a Hierarchical Bayesian Network to perform the occurrence analysis and a Failure Modes, Effects and Criticality Analysis to assess the magnitude of the adverse outcomes. The second approach is a Quantitative Risk Analysis carried out via a software named Safeti. Finally, another software called Synergi Plant is adopted for the third methodology, which provides a Risk-Based Inspection plan, through a semiquantitative risk analysis. The proposed study can assist asset manager in adopting the most appropriate methodology to their context, while highlighting priority components. To demonstrate the applicability of the approaches and compare their rankings, a Natural Gas Regulating and Measuring Station is considered as case study. The results showed that the most suited method strongly depends on the available data.
Original languageEnglish
Article number104555
JournalJOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
Volume72
Early online date25 May 2021
DOIs
Publication statusE-pub ahead of print - 25 May 2021
MoE publication typeA1 Journal article-refereed

Keywords

  • Hierarchical bayesian approach
  • Natural gas distribution network
  • Quantitative risk analysis
  • Risk-based maintenance

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