A Reliability Model for Safety Instrumented System

Safety analysis in the companies is an important issue besides the quality, productivity and profitability. Safety integrity function in many industries is based on safety instrumented systems. Uncertainty is the main problem of safety analysis. In this paper, a new mathematical model is developed t...

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Main Authors:	Ouache, Rachid, M. Nomani, Kabir, Ali, A. J. Adham
Format:	Article
Language:	English English
Published:	Elsevier Ltd 2015
Subjects:	Q Science (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/11595/ http://umpir.ump.edu.my/id/eprint/11595/ http://umpir.ump.edu.my/id/eprint/11595/ http://umpir.ump.edu.my/id/eprint/11595/1/A%20Reliability%20Model%20for%20Safety%20Instrumented%20System.pdf http://umpir.ump.edu.my/id/eprint/11595/7/A%20Reliability%20Model%20for%20Safety%20Instrumented%20System.pdf

id	ump-11595
recordtype	eprints
spelling	ump-115952018-09-25T08:45:50Z http://umpir.ump.edu.my/id/eprint/11595/ A Reliability Model for Safety Instrumented System Ouache, Rachid M. Nomani, Kabir Ali, A. J. Adham Q Science (General) Safety analysis in the companies is an important issue besides the quality, productivity and profitability. Safety integrity function in many industries is based on safety instrumented systems. Uncertainty is the main problem of safety analysis. In this paper, a new mathematical model is developed to compute the probability of failure on demand (PFD) following the three steps. First, KHALFI (Characteristics of Hazard Analysis based on Logic Frequency Initiative) mathematical model is formulated to identify the real PFD at any geographical location considering five intermediate factors: temperature, humidity, pressure, wind speed and time which can affect the PFD. Second, probability binary state (PROBIST) is used to precise the values of PFD. Third, Bowtie method is employed to carry out the safety analysis for examining the safety of some scenarios by determining the PFD of safeguards, where new classification for the safety integrity level is proposed. Finally, Simulink model is developed implementing the proposed model to facilitate the automatic computation and analysis. Results indicate that all the atmospheric elements are significant and need to be taken into consideration to attain the best reliability in the calculation of PFD. The effectiveness of the proposed model gives the opportunity for the analysts to conduct safety analysis at any geographical location. Elsevier Ltd 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11595/1/A%20Reliability%20Model%20for%20Safety%20Instrumented%20System.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11595/7/A%20Reliability%20Model%20for%20Safety%20Instrumented%20System.pdf Ouache, Rachid and M. Nomani, Kabir and Ali, A. J. Adham (2015) A Reliability Model for Safety Instrumented System. Safety Science, 80. pp. 264-273. ISSN 09257535 http://dx.doi.org/10.1016/j.ssci.2015.08.004 doi:10.1016/j.ssci.2015.08.004
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	Q Science (General)
spellingShingle	Q Science (General) Ouache, Rachid M. Nomani, Kabir Ali, A. J. Adham A Reliability Model for Safety Instrumented System
description	Safety analysis in the companies is an important issue besides the quality, productivity and profitability. Safety integrity function in many industries is based on safety instrumented systems. Uncertainty is the main problem of safety analysis. In this paper, a new mathematical model is developed to compute the probability of failure on demand (PFD) following the three steps. First, KHALFI (Characteristics of Hazard Analysis based on Logic Frequency Initiative) mathematical model is formulated to identify the real PFD at any geographical location considering five intermediate factors: temperature, humidity, pressure, wind speed and time which can affect the PFD. Second, probability binary state (PROBIST) is used to precise the values of PFD. Third, Bowtie method is employed to carry out the safety analysis for examining the safety of some scenarios by determining the PFD of safeguards, where new classification for the safety integrity level is proposed. Finally, Simulink model is developed implementing the proposed model to facilitate the automatic computation and analysis. Results indicate that all the atmospheric elements are significant and need to be taken into consideration to attain the best reliability in the calculation of PFD. The effectiveness of the proposed model gives the opportunity for the analysts to conduct safety analysis at any geographical location.
format	Article
author	Ouache, Rachid M. Nomani, Kabir Ali, A. J. Adham
author_facet	Ouache, Rachid M. Nomani, Kabir Ali, A. J. Adham
author_sort	Ouache, Rachid
title	A Reliability Model for Safety Instrumented System
title_short	A Reliability Model for Safety Instrumented System
title_full	A Reliability Model for Safety Instrumented System
title_fullStr	A Reliability Model for Safety Instrumented System
title_full_unstemmed	A Reliability Model for Safety Instrumented System
title_sort	reliability model for safety instrumented system
publisher	Elsevier Ltd
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/11595/ http://umpir.ump.edu.my/id/eprint/11595/ http://umpir.ump.edu.my/id/eprint/11595/ http://umpir.ump.edu.my/id/eprint/11595/1/A%20Reliability%20Model%20for%20Safety%20Instrumented%20System.pdf http://umpir.ump.edu.my/id/eprint/11595/7/A%20Reliability%20Model%20for%20Safety%20Instrumented%20System.pdf
first_indexed	2023-09-18T22:12:31Z
last_indexed	2023-09-18T22:12:31Z
_version_	1777415121861083136

A Reliability Model for Safety Instrumented System

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