scispace - formally typeset
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.

read more

Citations
More filters
Journal ArticleDOI

A Comprehensive Framework for Risk Probability Assessment of Landfill Fire Incidents Using Fuzzy Fault Tree Analysis

TL;DR: In this paper , the authors present a new framework for risk probability evaluation of major fires in landfills using the fuzzy fault tree analysis, which starts with construction of the fault tree of landfill fire comprised of 38 basic and 22 intermediate events with corresponding type of faults under managerial, executive, human, and environmental conditions.
Journal ArticleDOI

A Novel Risk Matrix Approach Based on Cloud Model for Risk Assessment Under Uncertainty

TL;DR: In this article, a cloud risk matrix method was proposed for the risk assessment of process safety considering the epistemic uncertainty in expert elicitation, where the cloud model was employed to provide a mathematical expression for the fuzziness and randomness in the linguistic variables by its two numerical characteristics entropy En and hyperentropy He.
Book ChapterDOI

A Conceptual Framework to Incorporate Complex Basic Events in HiP-HOPS

TL;DR: To maintain the benefits of MBSA while not compromising on modelling capability, a conceptual framework to incorporate complex basic events in HiP-HOPS is proposed.
Journal ArticleDOI

Integrating α-cut interval based fuzzy fault tree and Bayesian network analysis for criticality analysis of submarine pipeline leakage: A novel approach

TL;DR: In this paper , a novel methodology is proposed by combining fuzzy fault tree analysis and Bayesian network to obtain updated prior possibilities of basic events and top event of system fault tree when new information are available.
Journal ArticleDOI

A Review of Reliability and Fault Analysis Methods for Heavy Equipment and Their Components Used in Mining

TL;DR: A comprehensive review of different statistical techniques that have been applied for reliability and fault prediction from both theoretical aspects and industrial applications is provided in this article , where the advantages and limitations of the algorithm are discussed, and the efficiency of new ML methods are compared to the traditional methods used.
References
More filters
Book

Fuzzy sets

TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Book ChapterDOI

PRISM 4.0: verification of probabilistic real-time systems

TL;DR: A major new release of the PRISMprobabilistic model checker is described, adding, in particular, quantitative verification of (priced) probabilistic timed automata.
Book

Safeware: System Safety and Computers

TL;DR: This chapter discusses the role of humans in Automated Systems, the nature of risk, and elements of a Safeware Program, which aims to manage Safety and Security through design and implementation.
Book

Modelling with Generalized Stochastic Petri Nets

TL;DR: This book presents a unified theory of Generalized Stochastic Petri Nets together with a set of illustrative examples from different application fields to show how this methodology can be applied in a range of domains.
Journal ArticleDOI

Improving the analysis of dependable systems by mapping fault trees into Bayesian networks

TL;DR: It is shown that any FT can be directly mapped into a BN and that basic inference techniques on the latter may be used to obtain classical parameters computed from the former, i.e. reliability of the Top Event or of any sub-system, criticality of components, etc.
Related Papers (5)
Frequently Asked Questions (2)
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. 

Trending Questions (1)