Accident modelling and analysis in process industries
Accident modelling is a methodology used to relate the causes and effects of events that lead to accidents. This modelling effectively seeks to answer two main questions: (i) Why does an accident occur, and (ii) How does it occur. This paper presents a review of accident models that have been develo...
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my.utm.517052018-10-14T08:37:11Z http://eprints.utm.my/id/eprint/51705/ Accident modelling and analysis in process industries Al-Shanini, Ali Ahmad, Arshad Khan, Faisal TP Chemical technology Accident modelling is a methodology used to relate the causes and effects of events that lead to accidents. This modelling effectively seeks to answer two main questions: (i) Why does an accident occur, and (ii) How does it occur. This paper presents a review of accident models that have been developed for the chemical process industry with in-depth analyses of a class of models known as dynamic sequential accident models (DSAMs). DSAMs are sequential models with a systematic procedure to utilise precursor data to estimate the posterior risk profile quantitatively. DSAM also offers updates on the failure probabilities of accident barriers and the prediction of future end states. Following a close scrutiny of these methodologies, several limitations are noted and discussed, and based on these insights, future work is suggested to enhance and improve this category of models further Elsevier Ltd. 2014 Article PeerReviewed Al-Shanini, Ali and Ahmad, Arshad and Khan, Faisal (2014) Accident modelling and analysis in process industries. Journal of Loss Prevention in the Process Industries, 32 . pp. 319-334. ISSN 0950-4230 http://dx.doi.org/10.1016/j.jlp.2014.09.016 |
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TP Chemical technology Al-Shanini, Ali Ahmad, Arshad Khan, Faisal Accident modelling and analysis in process industries |
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Accident modelling is a methodology used to relate the causes and effects of events that lead to accidents. This modelling effectively seeks to answer two main questions: (i) Why does an accident occur, and (ii) How does it occur. This paper presents a review of accident models that have been developed for the chemical process industry with in-depth analyses of a class of models known as dynamic sequential accident models (DSAMs). DSAMs are sequential models with a systematic procedure to utilise precursor data to estimate the posterior risk profile quantitatively. DSAM also offers updates on the failure probabilities of accident barriers and the prediction of future end states. Following a close scrutiny of these methodologies, several limitations are noted and discussed, and based on these insights, future work is suggested to enhance and improve this category of models further |
format |
Article |
author |
Al-Shanini, Ali Ahmad, Arshad Khan, Faisal |
author_facet |
Al-Shanini, Ali Ahmad, Arshad Khan, Faisal |
author_sort |
Al-Shanini, Ali |
title |
Accident modelling and analysis in process industries |
title_short |
Accident modelling and analysis in process industries |
title_full |
Accident modelling and analysis in process industries |
title_fullStr |
Accident modelling and analysis in process industries |
title_full_unstemmed |
Accident modelling and analysis in process industries |
title_sort |
accident modelling and analysis in process industries |
publisher |
Elsevier Ltd. |
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2014 |
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http://eprints.utm.my/id/eprint/51705/ http://dx.doi.org/10.1016/j.jlp.2014.09.016 |
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