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Effective Static and Dynamic Fault Tree Analysis
2016Fault trees constitute one of the essential formalisms for static safety analysis of various industrial systems. Dynamic fault trees (DFT) enrich the formalism by support for time-dependent behaviour, e.g., repairs or dynamic dependencies. This enables more realistic and more precise modelling, and can thereby avoid overly pessimistic analysis results.
Bäckström, Ola +4 more
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Sensitivity analysis of modular dynamic fault trees
Proceedings IEEE International Computer Performance and Dependability Symposium. IPDS 2000, 2002Dynamic fault tree analysis, as currently supported by the Galileo software package, provides an effective means for assessing the reliability of embedded computer-based systems. Dynamic fault trees extend traditional fault trees by defining special gates to capture sequential and functional dependency characteristics.
null Yong Ou, J.B. Dugan
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Time Parallel Simulation for Dynamic Fault Trees
2014Dynamic Fault Trees (DFT) are a generalization of Fault Trees which allow the evaluation of the reliability of complex and redundant systems. We propose to analyze DFT by a new version of time-parallel simulation method we have recently introduced. This method takes into account the monotonicity of the sample-paths to derive upper and lower bounds of ...
T. H. Dao Thi +3 more
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Dynamic Fault Tree Analysis Based on Dynamic Uncertain Causality Graph
Volume 2: Plant Systems, Structures, Components, and Materials; Risk Assessments and Management, 2018Dynamic Fault Tree (DFT) has drawn attention from comprehensive industrial systems in recent years. Many analytical approaches are developed to analyze DFT, such as Markov Chain based method, Inclusion-Exclusion Rule based method, and Sum-of-Disjoint-Product theory based method.
Zhenxu Zhou, Chunling Dong, Qin Zhang
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Combining dynamic fault trees and event trees for probabilistic risk assessment
Annual Symposium Reliability and Maintainability, 2004 - RAMS, 2004As system analysis methodologies, both event tree analysis (ETA) and fault tree analysis (FTA) are used in probabilistic risk assessment (PRA), especially in identifying system interrelationships due to shared events. Although there are differences between them, ETA and FTA, are so closely linked that fault trees (FT) are often used to quantify system ...
null Hong Xu, J.B. Dugan
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A new approach to solve dynamic fault trees
Annual Reliability and Maintainability Symposium, 2003., 2003The traditional static fault trees with AND, OR and voting gates cannot capture the dynamic behavior of system failure mechanisms such as sequence-dependent events, spares and dynamic redundancy management and priorities of failure events. Therefore, researchers introduced dynamic gates into fault trees to capture these sequence-dependent failure ...
S. Amari, G. Dill, E. Howald
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Dynamic fault tree analysis based fault diagnosis system of power transformer
Proceedings of the 10th World Congress on Intelligent Control and Automation, 2012The process of transformer fault diagnosis and the theory of DFTA are first presented in this paper and then we apply DFTA to the field of transformer faults diagnosis. By establishing the fault tree of transformer, a practical, easily-extended, interactive and self-learning enabled fault diagnosis system based on DFTA for transformer is designed and ...
Jiang Guo +6 more
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Scalable Analysis of Fault Trees with Dynamic Features
2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015Fault trees constitute one of the essential formalisms for static safety analysis of various industrial systems. Dynamic fault trees (DFT) enrich the formalism by time-dependent behavior, e.g., repairs or functional dependencies. Analysis of DFT is so far limited to substantially smaller models than those required for, e.g., nuclear power plants.
Jan Krcal, Pavel Krcal
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Combining Static/Dynamic Fault Trees and Event Trees Using Bayesian Networks
2007In this study, an alternative approach for combining Fault Trees (FT) and Event Trees (ET) using capabilities of Bayesian networks (BN) for dependency analysis is proposed. We focused on treating implicit and explicit weak s-dependencies that may exist among different static/dynamic FTs related to an ET. In case of combining implicit s-dependent static
S. M. Hadi Hosseini, Makoto Takahashi
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