On the extension of Importance Measures to complex components

Dutuit, Yves; Rauzy, Antoine

doi:10.1016/j.ress.2015.04.016

Cited by 28 publications

(13 citation statements)

References 29 publications

(32 reference statements)

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“…The recent findings in Ref. are likely to provide a shortcut for the estimation of the system decision worth. This investigation is the subject of future research by the authors.…”

Section: Discussionmentioning

confidence: 94%

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Deciding with Thresholds: Importance Measures and Value of Information

Borgonovo

Cillo

2017

Risk Analysis

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Risk-informed decision making is often accompanied by the specification of an acceptable level of risk. Such target level is compared against the value of a risk metric, usually computed through a probabilistic safety assessment model, to decide about the acceptability of a given design, the launch of a space mission, etc. Importance measures complement the decision process with information about the risk/safety significance of events. However, importance measures do not tell us whether the occurrence of an event can change the overarching decision. By linking value of information and importance measures for probabilistic risk assessment models, this work obtains a value-of-information-based importance measure that brings together the risk metric, risk importance measures, and the risk threshold in one expression. The new importance measure does not impose additional computational burden because it can be calculated from our knowledge of the risk achievement and risk reduction worth, and complements the insights delivered by these importance measures. Several properties are discussed, including the joint decision worth of basic event groups. The application to the large loss of coolant accident sequence of the Advanced Test Reactor helps us in illustrating the risk analysis insights.

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“…The recent findings in Ref. are likely to provide a shortcut for the estimation of the system decision worth. This investigation is the subject of future research by the authors.…”

Section: Discussionmentioning

confidence: 94%

“… and . Recently, Dutuit and Rauzy propose a way to extend importance measures from basic events to what they call complex components , i.e., parts of PSA models that are represented by gates rather than basic events. The recent findings in Ref.…”

Section: Discussionmentioning

confidence: 99%

Deciding with Thresholds: Importance Measures and Value of Information

Borgonovo

Cillo

2017

Risk Analysis

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“…This measure often refers to a marginal reliability importance [26]. It can be used for sensitivity analysis by considering the effect of basic event probability changes to the top event probability [31]. Extra redundancy could be introduced into a system when BI is high and component unavailability is low [20].…”

Section: Probability-based Importance Measure Approachesmentioning

confidence: 99%

The Implementation of Importance Measure Approaches for Criticality Analysis in Fault Tree Analysis: A Review

Purba

Deswandri

2018

Jurnal Pengembangan Energi Nuklir

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THE IMPLEMENTATION OF IMPORTANCE MEASURE APPROACHES FOR CRITICALITY ANALYSIS IN FAULT TREE ANALYSIS: A REVIEW.Fault tree analysis (FTA) has been widely applied in nuclear power plant (NPP) probabilistic safety assessment to evaluate the reliability of a safety system. In FTA, criticality analysis is performed to identify the weakest paths in the system designs and components. For this purpose, an importance measure approach can be applied. Risk managers can apply information obtained from this analysis to improve safety by implementing risk reduction measure into the new design or build a more innovative design. Various importance measure approaches have been developed and proposed for criticality analysis in FTA. Each important measure approach offers specific purposes and advantages but has limitations. Therefore, it is necessary to understand characteristics of each approach in order to select the most appropriate approach to reach the purpose of the study. The objective of this study is to review the current implementations of importance measure approaches to rank individual basic events and/or minimal cut sets regarding their contributions to the unreliability or unavailability of NPP safety systems. This study classified importance measure approaches into two groups, i.e. probability–based importance measure approaches and fuzzy–based importance measure approaches. This study concluded that clear understanding of the purpose of the study, the type of reliability data at hands, and the uncertainty in the calculation need to be considered prior to the selection of the appropriate importance measure approach to the study of interest.

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“…Therefore, some extensions have been proposed for these metrics [25,24]. There were also other extensions proposed [53] to address complex components (as well as group of components) whose failures are triggered by a combination of basic events. In our approach, component failures are modeled in the form of basic events.…”

Section: Related Workmentioning

confidence: 99%

Identifying critical architectural components with spectral analysis of fault trees

Ayav

Szer

2016

Applied Soft Computing

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a b s t r a c tWe increasingly rely on software-intensive embedded systems. Increasing size and complexity of these hardware/software systems makes it necessary to evaluate reliability at the system architecture level. One aspect of this evaluation is sensitivity analysis, which aims at identifying critical components of the architecture. These are the components of which unreliability contributes the most to the unreliability of the system. In this paper, we propose a novel approach for sensitivity analysis based on spectral analysis of fault trees. We show that measures obtained with our approach are both consistent and complementary with respect to the recognized metrics in the literature.

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On the extension of Importance Measures to complex components

Cited by 28 publications

References 29 publications

Deciding with Thresholds: Importance Measures and Value of Information

Deciding with Thresholds: Importance Measures and Value of Information

The Implementation of Importance Measure Approaches for Criticality Analysis in Fault Tree Analysis: A Review

Identifying critical architectural components with spectral analysis of fault trees

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