A Bayesian network approach for the quantitative assessment of resilience of critical systems

T.V. Santhosh; Edoardo Patelli

doi:10.3850/978-981-14-8593-0_3699-cd

A Bayesian network approach for the quantitative assessment of resilience of critical systems

T.V. Santhosh, Edoardo Patelli

Civil And Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

1 Citation (Scopus)

Abstract

The major accidents in industry, and failures of critical infrastructure have triggered an absolute need for new and efficient approaches in risk assessment and safety management. Resilience engineering has attracted widespread interest as it presents a whole new approach to measuring and maintaining the safety of critical systems. In this paper, an integrated framework is proposed for resilience assessment of critical systems under various threat scenarios using Bayesian network. This new approach addresses all the factors associated with resilience principles together with the dynamic interactions of a system during threats. Quantitative resilience metrics are proposed to provide new insights on the importance of different factors within the resilience framework and optimise the mitigation and recovery phases. The approach is applied to assess the resilience of safety system of a nuclear reactor.

Original language	English
Title of host publication	Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference
Editors	Piero Baraldi, Francesco Di Maio, Enrico Zio
Place of Publication	Singapore
Pages	1444-1451
Number of pages	8
DOIs	https://doi.org/10.3850/978-981-14-8593-0_3699-cd
Publication status	Published - 5 Nov 2020
Event	30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 - Venice, Italy Duration: 1 Nov 2020 → 5 Nov 2020

Conference

Conference	30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020
Country/Territory	Italy
City	Venice
Period	1/11/20 → 5/11/20

Funding

This work has been supported by the UK Engineering and Physical Sciences Research Council (EPSRC) with the project entitled “A Resilience Modelling Framework for Improved Nuclear Safety (NuRes)”, Grant No. EP/R020588/2.

Keywords

Bayesian networks
critical infrastructure
human and organizational factors
resilience
safety

Access to Document

10.3850/978-981-14-8593-0_3699-cd

Cite this

Santhosh, T. V., & Patelli, E. (2020). A Bayesian network approach for the quantitative assessment of resilience of critical systems. In P. Baraldi, F. Di Maio, & E. Zio (Eds.), Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference (pp. 1444-1451). https://doi.org/10.3850/978-981-14-8593-0_3699-cd

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abstract = "The major accidents in industry, and failures of critical infrastructure have triggered an absolute need for new and efficient approaches in risk assessment and safety management. Resilience engineering has attracted widespread interest as it presents a whole new approach to measuring and maintaining the safety of critical systems. In this paper, an integrated framework is proposed for resilience assessment of critical systems under various threat scenarios using Bayesian network. This new approach addresses all the factors associated with resilience principles together with the dynamic interactions of a system during threats. Quantitative resilience metrics are proposed to provide new insights on the importance of different factors within the resilience framework and optimise the mitigation and recovery phases. The approach is applied to assess the resilience of safety system of a nuclear reactor.",

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author = "T.V. Santhosh and Edoardo Patelli",

note = "Santhosh, T. V., \& Patelli, E. (2020). A Bayesian Network Approach for the Quantitative Assessment of Resilience of Critical Systems. In Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. Research Publishing Services. doi:10.3850/978-981-14-8593-0\_3699-cd; 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 ; Conference date: 01-11-2020 Through 05-11-2020",

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Santhosh, TV & Patelli, E 2020, A Bayesian network approach for the quantitative assessment of resilience of critical systems. in P Baraldi, F Di Maio & E Zio (eds), Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference. Singapore , pp. 1444-1451, 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020, Venice, Italy, 1/11/20. https://doi.org/10.3850/978-981-14-8593-0_3699-cd

A Bayesian network approach for the quantitative assessment of resilience of critical systems. / Santhosh, T.V.; Patelli, Edoardo.
Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference. ed. / Piero Baraldi; Francesco Di Maio; Enrico Zio. Singapore , 2020. p. 1444-1451.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

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ER -

A Bayesian network approach for the quantitative assessment of resilience of critical systems

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Keywords

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