Joint reliability-importance of two edges in an undirected network

Hong, Jung Sik; Lie, Chang-Hoon

doi:10.1109/24.210266

Cited by 118 publications

(13 citation statements)

References 3 publications

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“…& Enab. importance For FTs with initiating and enabling events Hong and Lie [77] Joint Reliability Importance Interaction between pairs of events Armstrong [78] Joint Reliability Importance Also for dependent events Lu [79] Joint Reliability Importance Also for noncoherent systems Vesely-Fussell [80] Primary Event Importance BE contribution to unavailability Dutuit et al [81] Risk Reduction Factor Maximal improvement of reliability by BE of the boolean expression of the FT, methods based on Binary Decision Diagrams, and others. Table 1 summarizes these techniques.…”

Section: Minimal Cut Setsmentioning

confidence: 98%

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Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools

Ruijters

Stoelinga

2015

Computer Science Review

580

368

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Reliability Risk analysis Dynamic Fault Trees Graphical models Dependability evaluation A B S T R A C T Fault tree analysis (FTA) is a very prominent method to analyze the risks related to safety and economically critical assets, like power plants, airplanes, data centers and web shops. FTA methods comprise of a wide variety of modeling and analysis techniques, supported by a wide range of software tools. This paper surveys over 150 papers on fault tree analysis, providing an in-depth overview of the state-of-the-art in FTA. Concretely, we review standard fault trees, as well as extensions such as dynamic FT, repairable FT, and extended FT. For these models, we review both qualitative analysis methods, like cut sets and common cause failures, and quantitative techniques, including a wide variety of stochastic methods to compute failure probabilities. Numerous examples illustrate the various approaches, and tables present a quick overview of results.

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Section: Minimal Cut Setsmentioning

confidence: 98%

“…To quantify the interactions between components, Hong and Lie [77] developed the Joint Reliability Importance and its dual, the Joint Failure Importance. These measures place greater weight on pairs of components that occur together in many cut sets, such as a component and its only spare, than on two relatively independent components.…”

Section: Joint Importancementioning

confidence: 99%

Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools

Ruijters

Stoelinga

2015

Computer Science Review

580

368

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“…Many researchers have previously studied reliability importance analysis (Marginal reliability importance (MRI) and Joint reliability importance (JRI)) and reliability sensitivity analysis for complex systems. Hong & Lie [12], and Armstrong [13] introduced the JRI to explore how two components in a system interact in contributing to the system's reliability. The JRI was extended from two components to multi-components [14].…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis and Imprecise Component Importance Measure of Redundant Systems of OWTs Based on Component Swapping

Zhu

Wang

2020

Applied Sciences

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Due to the high cost of failures of wind turbines, redundancy designs are commonly applied in wind turbines for improving the reliability and availability of systems. For this reason, replacing failed components with other working components of the same type in redundant systems is becoming an attractive option of maintenance strategies towards more resilient systems. To quantitatively evaluate system’s reliability, this paper focuses on the reliability analysis of redundant systems of offshore wind turbines based on swapping existing components. The survival signature-based component swapping method is introduced to describe the new structure-function of the system upon swapping. Furthermore, the reliability model of redundant systems is established using the fault tree and survival signature. Following this, the influences of component swapping on component reliability importance measure (marginal reliability importance and joint reliability importance) without and with considerations of the imprecision of failure rates are explored. Finally, a 5MW offshore wind turbine is presented to show the applicability of the proposed approach for redundant systems, and the results show that the proposed approach can obtain realistic reliability assessment of redundant systems and considering component swapping can significantly improve system reliability.

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“…& Enab. importance For FTs with initiating and enabling events [HL93] Joint Reliability Importance Interaction between pairs of events [Arm95] Joint Reliability Importance Also for dependent events [LJ07] Joint Reliability Importance Also for noncoherent systems [Fus75] Primary Event Importance BE contribution to unavailability [DR01] Risk Reduction Factor Maximal improvement of reliability by BE …”

Section: Variousmentioning

confidence: 99%

“…To quantify the interactions between components, [HL93] developed the Joint Reliability Importance and its dual, the Joint Failure Importance. These measures place greater weight on pairs of components that occur together in many cut sets, such as a component and its only spare, than on two relatively independent components.…”

Section: Joint Importancementioning

confidence: 99%

Zen and the Art of Railway Maintenance

Ruijters¹

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Joint reliability-importance of two edges in an undirected network

Cited by 118 publications

References 3 publications

Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools

Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools

Reliability Analysis and Imprecise Component Importance Measure of Redundant Systems of OWTs Based on Component Swapping

Zen and the Art of Railway Maintenance

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