Quantitative Analysis of Dynamic Fault Trees Based on the Structure Function

Merle, Guillaume; Roussel, Jean-Marc; Lesage, Jean-Jacques

doi:10.1002/qre.1487

Cited by 53 publications

(44 citation statements)

References 24 publications

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“…However, when including dynamic asset dependencies, mathematical expressions become complicated for complex systems. See [64], [65] for the algebraic framework of non-repairable dynamic dependability.…”

Section: Relevant Workmentioning

confidence: 99%

“…Besides, the system failure condition which determines the final RUL varies from system to system. Sometimes it can be defined as a performance indicator of the system [66], [67], but there are situations in which timedependent failure occurrences of assets are needed to cause the system failure [64], [65] and this complicates the analytical treatment of the problem. In these situations, the applicability of analytic equations for system-level RUL is challenging.…”

Section: Relevant Workmentioning

confidence: 99%

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Improved Dynamic Dependability Assessment Through Integration With Prognostics

et al. 2017

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This version is available at https://strathprints.strath.ac.uk/60422/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the Strathprints administrator: strathprints@strath.ac.ukThe Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output. Abstract-The use of average data for dependability assessments results in a outdated system-level dependability estimation which can lead to incorrect design decisions. With increasing availability of online data, there is room to improve traditional dependability assessment techniques. Namely, prognostics is an emerging field which provides asset-specific failure information which can be reused to improve the system level failure estimation. This paper presents a framework for prognosticsupdated dynamic dependability assessment. The dynamic behaviour comes from runtime updated information, asset interdependencies, and time-dependent system behaviour. A case study from the power generation industry is analysed and results confirm the validity of the approach for improved near real-time unavailability estimations.

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Section: Relevant Workmentioning

confidence: 99%

Section: Relevant Workmentioning

confidence: 99%

Improved Dynamic Dependability Assessment Through Integration With Prognostics

et al. 2017

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“…This section is dedicated to a formalisation of DFTs by an algebraic description, as described in [12], [44], [13]. [20] Similar efforts can be found in [45], [20] and [46].…”

Section: F Algebraic Encodingmentioning

confidence: 99%

“…This is highly undesirable, since it can easily lead to different analysis results and wrong conclusions about the system's reliability-if an FTA tool interprets a model differently from its user, then one may conclude that the system meets its dependability requirements, whereas in reality it does not. [4] [5] [6], [7] [8] [9] [10], [11] [12], [13] Spare Awareness of these semantic issues is thus important to achieve faithful and reliable DFT modelling and analysis. This paper systematically uncovers the semantic differences and subtleties of DFT variants.…”

Section: Introductionmentioning

confidence: 99%

Uncovering Dynamic Fault Trees

Junges

Guck

Katoen

et al. 2016

2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

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Abstract-Fault tree analysis is a widespread industry standard for assessing system reliability. Standard (static) fault trees model the failure behaviour of systems in dependence of their component failures. To overcome their limited expressive power, common dependability patterns, such as spare management, functional dependencies, and sequencing are considered. A plethora of such dynamic fault trees (DFTs) have been defined in the literature. They differ in e.g., the types of gates (elements), their meaning, expressive power, the way in which failures propagate, how elements are claimed and activated, and how spare races are resolved. This paper systematically uncovers these differences and categorises existing DFT variants. As these differences may have huge impact on the reliability assessment, awareness of these impacts is important when using DFT modelling and analysis.

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“…Yet these techniques become unfeasible when the independent sub-modules are placed under a dynamic gate. The IE-based approach [14,18] is a combinatorial method based on enumerating the complete minimal cut sequences/sets (MCSs) of a considered DFT. In contrast to Markov-based methods, the IE-based approach is efficient since it does not require highly-coupled DFTs converted to state space forms.…”

Section: Introductionmentioning

confidence: 99%