2021
DOI: 10.1016/j.jlp.2021.104599
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Resilience-based approach to safety barrier performance assessment in process facilities

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Cited by 16 publications
(4 citation statements)
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“…In the normal degradation process, the prior probability of root factors and the conditional probability tables (CPTs) can be determined by the historical data and expert judgment [15,21,49,50]. Transition probabilities can be determined by failure rate λ and repair rate µ from OREDA and relevant literature.…”
Section: Quantification Of the First Part Of Retsscmentioning
confidence: 99%
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“…In the normal degradation process, the prior probability of root factors and the conditional probability tables (CPTs) can be determined by the historical data and expert judgment [15,21,49,50]. Transition probabilities can be determined by failure rate λ and repair rate µ from OREDA and relevant literature.…”
Section: Quantification Of the First Part Of Retsscmentioning
confidence: 99%
“…This residue risk also becomes evident from the continuous occurrence of severe process accidents [10,11]. Thus, there is a call to shift the focus of safety assessment from risk-oriented thinking to the paradigm of resilience engineering, which acknowledges the inherent uncertainty and complexity of system functioning and the need for performance variability [12][13][14][15][16][17][18][19]49,60].…”
Section: Introductionmentioning
confidence: 99%
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“…Even if safety barriers and safety systems may effectively mitigate or prevent escalation, several major accidents have shown that safety barriers may fail or be unable to play an adequate role in the accidents. The performance or effectiveness of the safety barriers in preventing escalation was studied by several researchers [7][8][9][10][11][12][13]. All these studies evidence that, even if the application of safety barriers and safety systems decreases significantly the risk of major accidents and of escalation, still a relevant residual risk may be present in specific types of installations.…”
Section: Introductionmentioning
confidence: 99%