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dc.contributor.authorAslansefat, K.
dc.contributor.authorGogani, M.B.
dc.contributor.authorKabir, Sohag
dc.contributor.authorShoorehdeli, M.A.
dc.contributor.authorYari, M.
dc.date.accessioned2019-10-21T18:01:56Z
dc.date.accessioned2019-11-12T14:27:00Z
dc.date.available2019-10-21T18:01:56Z
dc.date.available2019-11-12T14:27:00Z
dc.date.issued2020-02
dc.identifier.citationAslansefat K, Gogani MB, Kabir S et al (2020) Performance evaluation and design for variable threshold alarm systems through semi-Markov process. ISA Transactions. 97: 282-295.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17429
dc.descriptionYesen_US
dc.description.abstractIn large industrial systems, alarm management is one of the most important issues to improve the safety and efficiency of systems in practice. Operators of such systems often have to deal with a numerous number of simultaneous alarms. Different kinds of thresholding or filtration are applied to decrease alarm nuisance and improve performance indices, such as Averaged Alarm Delay (ADD), Missed Alarm and False Alarm Rates (MAR and FAR). Among threshold-based approaches, variable thresholding methods are well-known for reducing the alarm nuisance and improving the performance of the alarm system. However, the literature suffers from the lack of an appropriate method to assess performance parameters of Variable Threshold Alarm Systems (VTASs). This study introduces two types of variable thresholding and proposes a novel approach for performance assessment of VTASs using Priority-AND gate and semi-Markov process. Application of semi-Markov process allows the proposed approach to consider industrial measurements with non-Gaussian distributions. In addition, the paper provides a genetic algorithm based optimized design process for optimal parameter setting to improve performance indices. The effectiveness of the proposed approach is illustrated via three numerical examples and through a comparison with previous studies.en_US
dc.description.sponsorshipNoavaran Electronic Adar Sameh company [Grant NO: IRAM17S1].en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1016/j.isatra.2019.08.015en_US
dc.rights© 2019 ISA. Published by Elsevier Ltd. All rights reserved. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.en_US
dc.subjectAlarm managementen_US
dc.subjectIndustrial alarm systemsen_US
dc.subjectVariable threshold alarm systemen_US
dc.subjectPerformance assessmenten_US
dc.subjectSemi-Markov Processen_US
dc.subjectOptimal thresholdingen_US
dc.titlePerformance evaluation and design for variable threshold alarm systems through semi-Markov processen_US
dc.status.refereedYesen_US
dc.date.Accepted2019-08-04
dc.date.application2019-08-13
dc.typeArticleen_US
dc.date.EndofEmbargo2020-08-14
dc.type.versionAccepted manuscripten_US
dc.description.publicnotesThe full-text of this article will be released for public view at the end of the publisher embargo on 14 Aug 2020.en_US
dc.date.updated2019-10-21T17:01:58Z
refterms.dateFOA2019-11-12T14:27:51Z


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