Dynamic labelling of BDD and ZBDD for efficient non-coherent fault tree analysis

Matuzas, Vaidas; Contini, S.

doi:10.1016/j.ress.2015.07.012

Cited by 12 publications

(7 citation statements)

References 17 publications

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“…However, there was also an obvious disadvantage that the probability calculation results were not accurate enough. Matuzas 16 proposed a BDD/ZBDD dynamic labeling method for incoherent FTA, called L‐BDD/TL‐BDD. However, in the face of complex FT, there was not enough working memory to store a large amount of generated L‐BDD.…”

Section: The Realization Methods Of Dftmentioning

confidence: 99%

“…In addition, there are some studies dedicated to F I G U R E 2 Trend of DFT-related publications expanding different dynamic gates to meet the needs of the actual system, which are reviewed and discussed in Section 3.1. To be clear, the DFT reviewed in this paper refers to the techniques that can analyze the dynamic analysis of top event based on the fault tree model, which does not necessarily include dynamic gates, such as, 15,16 and so on.…”

Section: Seq Gatementioning

confidence: 99%

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A review on the realization methods of dynamic fault tree

Zhu

Zhang

2022

Quality & Reliability Eng

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Dynamic fault tree (DFT) is an extended technology of Fault tree analysis (FTA). It has been widely used in many fields and plays an important role in improving the security performance of the system. Although DFT has developed for many years, new research in recent years is still worthy of attention. In this study, the research status of different realization methods/analysis techniques of DFT is comprehensively reviewed. First, the development and research trend of DFT are described. Second, the research on dynamic gates and components in the analysis techniques is introduced in detail. Third, the mainstream realization methods of DFT, such as Markov chain, Bayesian network (BN) and so on, are summarized. At the same time, the application of other auxiliary analysis techniques is also introduced. Then, based on the research progress of different realization methods, the future development direction and challenges of DFT are prospected. The realization methods of DFT not only need the rigorous theoretical foundation. Moreover, it is also necessary to consider the combination of real‐time data and system modeling technology to realize dynamic assessment and smart system in the future.

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Section: The Realization Methods Of Dftmentioning

confidence: 99%

Section: Seq Gatementioning

confidence: 99%

A review on the realization methods of dynamic fault tree

Zhu

Zhang

2022

Quality & Reliability Eng

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“…Song et al [33] spread out FTA in Colored Petri nets to analyze the railway system reliability. Matuzas [34] and Deng [35] developed an upgraded Binary Decision Diagram (BDD) algorithm for improving FTA efficiency. Other examples include the use of dynamic FT [36,37] and Pandora temporal FT [38] for performing dependability analysis.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Risk Assessment of a Large-Scale Central Spherical Detector System by an Improved Fuzzy Fault Tree Analysis

Tan

Yue

et al. 2022

Mathematical Problems in Engineering

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Central spherical detector is one of the most essential and complicated support systems for the large-scale underground neutrino observatory. If a central spherical detector accident happens, the consequences may be disastrous with huge economic loss. However, there is very few published research works which focus on its quantitative risk analysis. In this paper, an improved fuzzy fault tree analysis (FFTA) method incorporated with the weakest t-norm (Tω) algorithm, the confidence level concept, and the analytic hierarchy process (AHP) approach is proposed to perform its risk assessment. By carrying out the identification of failure modes and failure reasons, fault tree (FT) model of central detector is constructed based on logical relationship among subcomponents. Fuzzy set theory is applied to obtain failure data, and Tω algorithm is exploited to eliminate fuzzy accumulation in the aggregation process. In addition, a confidence level coefficient and AHP approach are employed to enhance the reliability of the evaluation. Both importance and sensitivity analysis have been conducted to identify the critical basic events and provide improvement measures. Finally, the comparison of the occurrence possibility of detector failure is used to verify the applicability and the feasibility of proposed method. The calculated results indicate that the improved approach is more consistent with real situation and can provide a more effective engineering reference for the risk decision of central spherical detector.

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“…However, different approaches using artificial intelligence in risk analysis and with FTA especially were used. For depth and dynamic analysis, several techniques are used with FTA as the binary decision diagrams (BDD) used to encode efficiently FTA and calculation of minimal cut sets. The Monte Carlo (MC) simulation is designed for continuous–time models to compute the system reliability in FTA .…”

Section: Introductionmentioning

confidence: 99%

Reliability analysis by mapping probabilistic importance factors into bayesian belief networks for making decision in water deluge system

Guetarni

Aissani

Châtelet

et al. 2018

Process Safety Progress

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Liquid petroleum gas (LPG) is one area where catastrophic release scenarios have occurred. For this reason, preventive, and protective barriers have to be installed in order to reduce the occurrence and the severity of these scenarios. This article addresses an analysis of deluge system barrier and proposes a making decision process to ensure a high level of reliability, availability, maintainability, and safety (RAMS) using a robust Reliability Analysis with conditional probabilities. To achieve this RAMS target, a methodology for converting fault tree analysis (FTA) in continuous time using Monte Carlo (MC) simulation to Bayesian belief network (BBN) is developed. The probabilistic importance factors (PIFs) for critical components ranking and decision making are also mapped using BBN inferences in Water Deluge Systems (WDS) with an optimization aim using redundancy or maintenance tasks. This analysis illustrates the helpfulness of mapping PIFs into BBN for making a decision in any critical technological infrastructures.

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Dynamic labelling of BDD and ZBDD for efficient non-coherent fault tree analysis

Cited by 12 publications

References 17 publications

A review on the realization methods of dynamic fault tree

A review on the realization methods of dynamic fault tree

Quantitative Risk Assessment of a Large-Scale Central Spherical Detector System by an Improved Fuzzy Fault Tree Analysis

Reliability analysis by mapping probabilistic importance factors into bayesian belief networks for making decision in water deluge system

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