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

Development of activities to improve the security of the gas distribution network

TL;DR: In this paper , the authors proposed a methodology for planning work on modernization, overhaul and reconstruction of gas distribution network facilities, taking into account the safety indicator based on the value of the failure rate parameter for various types/types of facilities and their actual technical condition.
Journal ArticleDOI

Reliability and Service Life Analysis of Airbag Systems

Hongyan Dui, +2 more
- 13 Jan 2023 - 
TL;DR: In this paper , a dynamic fault tree model is transformed into a continuous-time Bayesian network by introducing a unit step function and an impulse function, from which the failure probability of the system is calculated.
Journal ArticleDOI

Safety Assurance of Artificial Intelligence-Based Systems: A Systematic Literature Review on the State of the Art and Guidelines for Future Work

- 01 Jan 2022 - 
TL;DR: In this article , the authors present the state of the art of the safety assurance of Artificial Intelligence (AI)-based systems and guidelines on future correlated work, including black-box testing, using safety envelopes, designing fail-safe AI, combining white-box analyses with explainable AI, and establishing a safety assurance process throughout systems' lifecycles.
Journal ArticleDOI

A Study of Foam Bitumen Preparation for Effective Recycling of Pavement Layers

TL;DR: In this article , the authors proposed a method for evaluating the failure probability of an asphalt foaming device and the importance of the bottom event, which combines triangular intuitionistic fuzzy numbers, trapezoidal intuitionistic numbers, and expert knowledge.
Proceedings Article

Computer System for Evaluation the Reliability of Technological Systems

TL;DR: The paper substantiates the feasibility of using the Fault Tree and describes the algorithm for qualitative and quantitative analysis of Fault Tree data.
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)