ALAP: Alarm Prioritization System for Oil Refinery

Alarm management is a fast-growing and important aspect in the oil refining process industries. While an alarm system functions as a tool to improve performance and monitor safety in a refinery plant, the alarm priority is used to convey the degree of seriousness of a specific alarm to operators. In...

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Main Authors: Foong, Oi Mean, Sulaiman, Suziah, Rambli, Dayang R.A., Abdullah, Syazwani
Format: Conference or Workshop Item
Published: 2009
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/1957/
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author Foong, Oi Mean
Sulaiman, Suziah
Rambli, Dayang R.A.
Abdullah, Syazwani
author_facet Foong, Oi Mean
Sulaiman, Suziah
Rambli, Dayang R.A.
Abdullah, Syazwani
author_sort Foong, Oi Mean
building UTP Institutional Repository
collection Online Access
description Alarm management is a fast-growing and important aspect in the oil refining process industries. While an alarm system functions as a tool to improve performance and monitor safety in a refinery plant, the alarm priority is used to convey the degree of seriousness of a specific alarm to operators. In this paper, we present a system prototype known as Alarm Prioritization (ALAP), which is developed using fuzzy logic, for Crude Distillation Unit (CDU) in an oil refinery. The objective of the paper is to prioritize the alarms during alarm floods which would ease the burden of operators with meaningless or false alarms. The ALAP prototype, which applies Mamdani inference engine, produces category and priority of the alarms that occur in the plant. The preliminary results have shown that the ALAP system helps the operators in deciding which critical alarms should be attended first rather than handling false or less priority alarms during the alarm floods.
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institution Universiti Teknologi Petronas
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spelling oai:scholars.utp.edu.my:19572010-05-03T06:59:33Z http://scholars.utp.edu.my/id/eprint/1957/ ALAP: Alarm Prioritization System for Oil Refinery Foong, Oi Mean Sulaiman, Suziah Rambli, Dayang R.A. Abdullah, Syazwani QA75 Electronic computers. Computer science Alarm management is a fast-growing and important aspect in the oil refining process industries. While an alarm system functions as a tool to improve performance and monitor safety in a refinery plant, the alarm priority is used to convey the degree of seriousness of a specific alarm to operators. In this paper, we present a system prototype known as Alarm Prioritization (ALAP), which is developed using fuzzy logic, for Crude Distillation Unit (CDU) in an oil refinery. The objective of the paper is to prioritize the alarms during alarm floods which would ease the burden of operators with meaningless or false alarms. The ALAP prototype, which applies Mamdani inference engine, produces category and priority of the alarms that occur in the plant. The preliminary results have shown that the ALAP system helps the operators in deciding which critical alarms should be attended first rather than handling false or less priority alarms during the alarm floods. 2009-10-20 Conference or Workshop Item PeerReviewed Foong, Oi Mean and Sulaiman, Suziah and Rambli, Dayang R.A. and Abdullah, Syazwani (2009) ALAP: Alarm Prioritization System for Oil Refinery. In: World Congress Engineering and Computer Science (WCECS 2009), 20-22 October, 2009. http://www.iaeng.org/publication/WCECS2009/WCECS2009_pp1012-1017.pdf
spellingShingle QA75 Electronic computers. Computer science
Foong, Oi Mean
Sulaiman, Suziah
Rambli, Dayang R.A.
Abdullah, Syazwani
ALAP: Alarm Prioritization System for Oil Refinery
title ALAP: Alarm Prioritization System for Oil Refinery
title_full ALAP: Alarm Prioritization System for Oil Refinery
title_fullStr ALAP: Alarm Prioritization System for Oil Refinery
title_full_unstemmed ALAP: Alarm Prioritization System for Oil Refinery
title_short ALAP: Alarm Prioritization System for Oil Refinery
title_sort alap: alarm prioritization system for oil refinery
topic QA75 Electronic computers. Computer science
url http://scholars.utp.edu.my/id/eprint/1957/
http://scholars.utp.edu.my/id/eprint/1957/