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Abstract

Fault tree analysis (FTA) is a very prominent method to analyze the risks related to safety and economically critical assets, like power plants, airplanes, data centers and web shops. FTA methods comprise of a wide variety of modelling and analysis techniques, supported by a wide range of software tools. This paper surveys over 150 papers on fault tree analysis, providing an in-depth overview of the state-of-the-art in FTA. Concretely, we review standard fault trees, as well as extensions such as dynamic FT, repairable FT, and extended FT. For these models, we review both qualitative analysis methods, like cut sets and common cause failures, and quantitative techniques, including a wide variety of stochastic methods to compute failure probabilities. Numerous examples illustrate the various approaches, and tables present a quick overview of results.
Original languageEnglish
Pages (from-to)29-62
Number of pages34
JournalComputer science review
Volume15-16
DOIs
StatePublished - 5 May 2015

Fingerprint

Fault tree analysis
Power plants
Aircraft

Keywords

  • Reliability
  • EWI-26013
  • Dependability Evaluation
  • Graphical models
  • IR-96800
  • Fault Trees
  • Risk analysis
  • METIS-312604
  • Dynamic Fault Trees

Cite this

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title = "Fault tree analysis: A survey of the state-of-the-art in modeling, analysis and tools",
abstract = "Fault tree analysis (FTA) is a very prominent method to analyze the risks related to safety and economically critical assets, like power plants, airplanes, data centers and web shops. FTA methods comprise of a wide variety of modelling and analysis techniques, supported by a wide range of software tools. This paper surveys over 150 papers on fault tree analysis, providing an in-depth overview of the state-of-the-art in FTA. Concretely, we review standard fault trees, as well as extensions such as dynamic FT, repairable FT, and extended FT. For these models, we review both qualitative analysis methods, like cut sets and common cause failures, and quantitative techniques, including a wide variety of stochastic methods to compute failure probabilities. Numerous examples illustrate the various approaches, and tables present a quick overview of results.",
keywords = "Reliability, EWI-26013, Dependability Evaluation, Graphical models, IR-96800, Fault Trees, Risk analysis, METIS-312604, Dynamic Fault Trees",
author = "Ruijters, {Enno Jozef Johannes} and Stoelinga, {Mariëlle Ida Antoinette}",
note = "This is the journal published version of technical report http://eprints.eemcs.utwente.nl/25404/",
year = "2015",
month = "5",
doi = "10.1016/j.cosrev.2015.03.001",
volume = "15-16",
pages = "29--62",
journal = "Computer science review",
issn = "1574-0137",
publisher = "Elsevier Ireland Ltd",

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AU - Ruijters,Enno Jozef Johannes

AU - Stoelinga,Mariëlle Ida Antoinette

N1 - This is the journal published version of technical report http://eprints.eemcs.utwente.nl/25404/

PY - 2015/5/5

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N2 - Fault tree analysis (FTA) is a very prominent method to analyze the risks related to safety and economically critical assets, like power plants, airplanes, data centers and web shops. FTA methods comprise of a wide variety of modelling and analysis techniques, supported by a wide range of software tools. This paper surveys over 150 papers on fault tree analysis, providing an in-depth overview of the state-of-the-art in FTA. Concretely, we review standard fault trees, as well as extensions such as dynamic FT, repairable FT, and extended FT. For these models, we review both qualitative analysis methods, like cut sets and common cause failures, and quantitative techniques, including a wide variety of stochastic methods to compute failure probabilities. Numerous examples illustrate the various approaches, and tables present a quick overview of results.

AB - Fault tree analysis (FTA) is a very prominent method to analyze the risks related to safety and economically critical assets, like power plants, airplanes, data centers and web shops. FTA methods comprise of a wide variety of modelling and analysis techniques, supported by a wide range of software tools. This paper surveys over 150 papers on fault tree analysis, providing an in-depth overview of the state-of-the-art in FTA. Concretely, we review standard fault trees, as well as extensions such as dynamic FT, repairable FT, and extended FT. For these models, we review both qualitative analysis methods, like cut sets and common cause failures, and quantitative techniques, including a wide variety of stochastic methods to compute failure probabilities. Numerous examples illustrate the various approaches, and tables present a quick overview of results.

KW - Reliability

KW - EWI-26013

KW - Dependability Evaluation

KW - Graphical models

KW - IR-96800

KW - Fault Trees

KW - Risk analysis

KW - METIS-312604

KW - Dynamic Fault Trees

U2 - 10.1016/j.cosrev.2015.03.001

DO - 10.1016/j.cosrev.2015.03.001

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