Enhancing Alarm Prioritization in the Alarm Management Lifecycle

Parsa, K; Hassall, M; Naderpour, M

Enhancing Alarm Prioritization in the Alarm Management Lifecycle

Parsa, K Hassall, M Naderpour, M

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Access, 2022, 10, pp. 99-111
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Parsa, K
dc.contributor.author	Hassall, M
dc.contributor.author	Naderpour, M https://orcid.org/0000-0002-3549-3875
dc.date.accessioned	2023-02-28T23:42:57Z
dc.date.available	2023-02-28T23:42:57Z
dc.date.issued	2022-01-01
dc.identifier.citation	IEEE Access, 2022, 10, pp. 99-111
dc.identifier.issn	2169-3536
dc.identifier.issn	2169-3536
dc.identifier.uri	http://hdl.handle.net/10453/166588
dc.description.abstract	Despite significant improvements being made in control and safety systems, near-miss incidents and adverse accidents continue to occur in the industry. Indeed, humans have a vital role in process control success or failure due to their responses to abnormal situations and alarms. A broad study on the alarm system performance shows that good rationalization and accurate prioritization of alarms should increase the efficacy of alarm systems and improve operator decision performances. This paper discusses current gaps in alarm prioritization approaches. It then proposes a method based on Graph theory and metrics capabilities to facilitate and improve the alarm prioritization process. The method is developed based on the causal and layer of protection modeling, followed by measuring the graph metrics for prioritization purposes. Finally, the proposed method is evaluated through implementation in a simulated case study. Results show that this approach facilitates similar achievement to the alarm workshop and produces more valuable data to the cascade of abnormal situations in a structured method and shorter time.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Access
dc.relation.isbasedon	10.1109/ACCESS.2021.3137865
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.title	Enhancing Alarm Prioritization in the Alarm Management Lifecycle
dc.type	Journal Article
utslib.citation.volume	10
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.date.updated	2023-02-28T23:42:55Z
pubs.publication-status	Published
pubs.volume	10

Abstract:

Despite significant improvements being made in control and safety systems, near-miss incidents and adverse accidents continue to occur in the industry. Indeed, humans have a vital role in process control success or failure due to their responses to abnormal situations and alarms. A broad study on the alarm system performance shows that good rationalization and accurate prioritization of alarms should increase the efficacy of alarm systems and improve operator decision performances. This paper discusses current gaps in alarm prioritization approaches. It then proposes a method based on Graph theory and metrics capabilities to facilitate and improve the alarm prioritization process. The method is developed based on the causal and layer of protection modeling, followed by measuring the graph metrics for prioritization purposes. Finally, the proposed method is evaluated through implementation in a simulated case study. Results show that this approach facilitates similar achievement to the alarm workshop and produces more valuable data to the cascade of abnormal situations in a structured method and shorter time.

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http://hdl.handle.net/10453/166588