Safety Instrumented Systems between Reliability and Fuzzy

Quantitative risk assessment and reliability are essential issues in modern safety to make reliable decision, and it is new approach used for risk management to identify accident scenarios that may occur at their facilities which are sources of damage. Risk assessment of safety instrumented systems...

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Main Authors: Rachid, Ouache, Ali, A. J. Adham
Format: Article
Language:English
Published: FTMS Global 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/7390/
http://umpir.ump.edu.my/id/eprint/7390/1/Safety_Instrumented_Systems_between_Reliability_and_Fuzzy.pdf
id ump-7390
recordtype eprints
spelling ump-73902015-06-24T01:38:45Z http://umpir.ump.edu.my/id/eprint/7390/ Safety Instrumented Systems between Reliability and Fuzzy Rachid, Ouache Ali, A. J. Adham T Technology (General) Quantitative risk assessment and reliability are essential issues in modern safety to make reliable decision, and it is new approach used for risk management to identify accident scenarios that may occur at their facilities which are sources of damage. Risk assessment of safety instrumented systems is approaches designed primarily to reduce the existing risk inherent in engineering system to a level considered tolerable and maintain it over time. In this study, the reliability of quantitative risk assessment using fuzzy sets based on event tree analysis and layer of protection analysis is the model proposed to deal with inaccuracy and uncertainty of data. The model proposed to determine the severity of the scenario and determine the safety integrity level SIL using Fuzzy Sets theory. The results which have got by this model is more motivate to deal with uncertainty of which considered as complementary for logical and arithmetic computation. FTMS Global 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7390/1/Safety_Instrumented_Systems_between_Reliability_and_Fuzzy.pdf Rachid, Ouache and Ali, A. J. Adham (2014) Safety Instrumented Systems between Reliability and Fuzzy. International Journal of Information Systems and Engineering, 2 (1). pp. 173-185. ISSN 2289-2265
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Rachid, Ouache
Ali, A. J. Adham
Safety Instrumented Systems between Reliability and Fuzzy
description Quantitative risk assessment and reliability are essential issues in modern safety to make reliable decision, and it is new approach used for risk management to identify accident scenarios that may occur at their facilities which are sources of damage. Risk assessment of safety instrumented systems is approaches designed primarily to reduce the existing risk inherent in engineering system to a level considered tolerable and maintain it over time. In this study, the reliability of quantitative risk assessment using fuzzy sets based on event tree analysis and layer of protection analysis is the model proposed to deal with inaccuracy and uncertainty of data. The model proposed to determine the severity of the scenario and determine the safety integrity level SIL using Fuzzy Sets theory. The results which have got by this model is more motivate to deal with uncertainty of which considered as complementary for logical and arithmetic computation.
format Article
author Rachid, Ouache
Ali, A. J. Adham
author_facet Rachid, Ouache
Ali, A. J. Adham
author_sort Rachid, Ouache
title Safety Instrumented Systems between Reliability and Fuzzy
title_short Safety Instrumented Systems between Reliability and Fuzzy
title_full Safety Instrumented Systems between Reliability and Fuzzy
title_fullStr Safety Instrumented Systems between Reliability and Fuzzy
title_full_unstemmed Safety Instrumented Systems between Reliability and Fuzzy
title_sort safety instrumented systems between reliability and fuzzy
publisher FTMS Global
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/7390/
http://umpir.ump.edu.my/id/eprint/7390/1/Safety_Instrumented_Systems_between_Reliability_and_Fuzzy.pdf
first_indexed 2023-09-18T22:04:01Z
last_indexed 2023-09-18T22:04:01Z
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