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Open AccessJournal ArticleDOI

An overview of fault tree analysis and its application in model based dependability analysis

Sohag Kabir
- 01 Jul 2017 - 
- Vol. 77, pp 114-135
TLDR
The standard fault tree with its limitations is reviewed and a number of prominent MBDA techniques where fault trees are used as a means for system dependability analysis are reviewed and an insight into their working mechanism, applicability, strengths and challenges are provided.
Abstract
I provide an overview of the Fault Tree Analysis method.I review different extensions of fault trees.A number of model-based dependability analysis approaches are reviewed.I outline the future outlook for model-based dependability analysis. Fault Tree Analysis (FTA) is a well-established and well-understood technique, widely used for dependability evaluation of a wide range of systems. Although many extensions of fault trees have been proposed, they suffer from a variety of shortcomings. In particular, even where software tool support exists, these analyses require a lot of manual effort. Over the past two decades, research has focused on simplifying dependability analysis by looking at how we can synthesise dependability information from system models automatically. This has led to the field of model-based dependability analysis (MBDA). Different tools and techniques have been developed as part of MBDA to automate the generation of dependability analysis artefacts such as fault trees. Firstly, this paper reviews the standard fault tree with its limitations. Secondly, different extensions of standard fault trees are reviewed. Thirdly, this paper reviews a number of prominent MBDA techniques where fault trees are used as a means for system dependability analysis and provides an insight into their working mechanism, applicability, strengths and challenges. Finally, the future outlook for MBDA is outlined, which includes the prospect of developing expert and intelligent systems for dependability analysis of complex open systems under the conditions of uncertainty.

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Citations
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Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability

TL;DR: A method incorporating fuzzy probability and Bayesian network (BN) into multi-state systems (MSSs) with CCFs is proposed and can improve the ability of BN on reliability evaluation of complex system with uncertainty issues.
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Fault Tree Analysis of floating offshore wind turbines

TL;DR: In this article, the authors used the Fault Tree Analysis (FTA) method for both qualitative and quantitative evaluation of semi-submersible floating offshore wind turbine failure characteristics, indicating that most of the failures are caused by several basic factors.
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Application of fuzzy fault tree analysis based on modified fuzzy AHP and fuzzy TOPSIS for fire and explosion in the process industry.

TL;DR: This study aimed at establishing fault tree analysis (FTA) using expert opinion to compute the probability of an event using Boolean algebra, and the effectiveness of the proposed approach is demonstrated with a real-life case study.
References
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Book ChapterDOI

Transient Analysis of Deterministic and Stochastic Petri Nets with TimeNET

TL;DR: This paper descibes the transient analysis component for deterministic and stochastic Petri nets which has recently been added to the software package TimeNET and algorithms for the numerical analysis of the equations are presented.
Proceedings ArticleDOI

An improved modular approach for dynamic fault tree analysis

TL;DR: This paper considers a set of cases when this modularization technique is still possible inside a Dynamic FT, if it is converted to a Markov Ch ain.
Proceedings ArticleDOI

Dynamic fault tree analysis based on Petri nets

TL;DR: The analysis results show that the proposed Petri net based DFT can overcome the state combinatorial explosion problem and guarantee high accuracy.
Journal ArticleDOI

Fuzzy Fault Tree Analysis for Fault Diagnosis of Cannula Fault in Power Transformer

TL;DR: An intelligent fault diagnosis method of power transformer using fuzzy fault tree analysis (FTA) and beta distribution for failure possibility estimation is presented and a new approach based on Euclidean distance between fuzzy numbers, to rank the basic events in accordance with their Fuzzy Importance Index is explained.
Journal ArticleDOI

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Q1. What are the contributions mentioned in the paper "An overview of fault tree analysis and its application in model based dependability analysis" ?

Firstly, this paper reviews the standard fault tree with its limitations. Thirdly, this paper reviews a number of prominent MBDA techniques where fault trees are used as a means for system dependability analysis and provides an insight into their working mechanism, applicability, strengths and challenges. 

Therefore, future research associated with these approaches are likely to concern with the improvement of the power and time complexity of the tools and techniques in the context of large and complex system models. This has open new avenues for further research to develop expert systems by combining MBDA approaches with other soft computing approaches for the assurance of dependability of such open systems. One possible avenue worthy of further research is the improvement of the MBDA approaches to perform real time analysis of systems—though it will complicate the analysis process and affect the scalability of the approaches. Future trends are likely to leading to more robust integrations between different existing MBDA approaches so that different strengths ( e. g. dependability analysis and model checking capability ) of the existing approaches can be utilised in a complementary manner. 

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