Quality vs. quantity of alarm messages - How to measure the performance of an alarm system
•An overview of the data-based alarm system performance metrics is presented•The common data-based performance metrics are grouped into seven categories•The differences between the academic and industrial approaches are highlighted•The focus on quantitative metrics instead of qualitative assessment...
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Published in | Chemical engineering research & design Vol. 173; pp. 63 - 80 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
01.09.2021
Elsevier Science Ltd |
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Abstract | •An overview of the data-based alarm system performance metrics is presented•The common data-based performance metrics are grouped into seven categories•The differences between the academic and industrial approaches are highlighted•The focus on quantitative metrics instead of qualitative assessment is discussed•A case study is provided on the alarm system of an industrial alkylation process
Despite significant efforts to measure and assess the performance of alarm systems, to this day, no silver bullet has been found. The majority of the existing standards and guidelines focus on the alarm load of the operators, either during normal or upset plant conditions, and only a small fraction takes into consideration the actions performed by the operators. In this study, an overview of the evolution of alarm system performance metrics is presented and the current data-based approaches are grouped into seven categories based on the goals of and the methodologies associated with each metric. Deriving from our categorical overview, the terminological differences between the academic and industrial approaches of alarm system performance measurement are reflected. Moreover, we highlight how extremely unbalanced the performance measurement of alarm systems is towards quantitative metrics instead of focusing on qualitative assessment, invoking the threat of excessive alarm reductions resulting from such a unilateral approach. The critical aspects of qualitative performance measurement of alarm systems is demonstrated in terms of the comparison of the alarm system of an industrial hydrofluoric acid alkylation unit before and after the alarm rationalization process. The quality of the alarm messages is measured via their informativeness and actionability, in other words, how appropriate the parameter settings are for the everyday work and how actionable they are by the operators of the process. |
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AbstractList | •An overview of the data-based alarm system performance metrics is presented•The common data-based performance metrics are grouped into seven categories•The differences between the academic and industrial approaches are highlighted•The focus on quantitative metrics instead of qualitative assessment is discussed•A case study is provided on the alarm system of an industrial alkylation process
Despite significant efforts to measure and assess the performance of alarm systems, to this day, no silver bullet has been found. The majority of the existing standards and guidelines focus on the alarm load of the operators, either during normal or upset plant conditions, and only a small fraction takes into consideration the actions performed by the operators. In this study, an overview of the evolution of alarm system performance metrics is presented and the current data-based approaches are grouped into seven categories based on the goals of and the methodologies associated with each metric. Deriving from our categorical overview, the terminological differences between the academic and industrial approaches of alarm system performance measurement are reflected. Moreover, we highlight how extremely unbalanced the performance measurement of alarm systems is towards quantitative metrics instead of focusing on qualitative assessment, invoking the threat of excessive alarm reductions resulting from such a unilateral approach. The critical aspects of qualitative performance measurement of alarm systems is demonstrated in terms of the comparison of the alarm system of an industrial hydrofluoric acid alkylation unit before and after the alarm rationalization process. The quality of the alarm messages is measured via their informativeness and actionability, in other words, how appropriate the parameter settings are for the everyday work and how actionable they are by the operators of the process. Despite significant efforts to measure and assess the performance of alarm systems, to this day, no silver bullet has been found. The majority of the existing standards and guidelines focus on the alarm load of the operators, either during normal or upset plant conditions, and only a small fraction takes into consideration the actions performed by the operators. In this study, an overview of the evolution of alarm system performance metrics is presented and the current data-based approaches are grouped into seven categories based on the goals of and the methodologies associated with each metric. Deriving from our categorical overview, the terminological differences between the academic and industrial approaches of alarm system performance measurement are reflected. Moreover, we highlight how extremely unbalanced the performance measurement of alarm systems is towards quantitative metrics instead of focusing on qualitative assessment, invoking the threat of excessive alarm reductions resulting from such a unilateral approach. The critical aspects of qualitative performance measurement of alarm systems is demonstrated in terms of the comparison of the alarm system of an industrial hydrofluoric acid alkylation unit before and after the alarm rationalization process. The quality of the alarm messages is measured via their informativeness and actionability, in other words, how appropriate the parameter settings are for the everyday work and how actionable they are by the operators of the process. |
Author | Abonyi, Janos Dorgo, Gyula Tandari, Ferenc Palazoglu, Ahmet Szabó, Tibor |
Author_xml | – sequence: 1 givenname: Gyula surname: Dorgo fullname: Dorgo, Gyula email: gydorgo@fmt.uni-pannon.hu organization: Department of Chemical Engineering, University of California, Davis, CA 95616, USA – sequence: 2 givenname: Ferenc surname: Tandari fullname: Tandari, Ferenc organization: MOL Danube Refinery, 2 Olajmunkás str., Százhalombatta H-2443, Hungary – sequence: 3 givenname: Tibor surname: Szabó fullname: Szabó, Tibor organization: MOL Danube Refinery, 2 Olajmunkás str., Százhalombatta H-2443, Hungary – sequence: 4 givenname: Ahmet surname: Palazoglu fullname: Palazoglu, Ahmet organization: Department of Chemical Engineering, University of California, Davis, CA 95616, USA – sequence: 5 givenname: Janos surname: Abonyi fullname: Abonyi, Janos organization: MTA-PE Lendulet Complex Systems Monitoring Research Group, Department of Process Engineering, University of Pannonia, 10 Egyetem str., Veszprém H-8200, Hungary |
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Keywords | Alarm system performance metrics Alarm management Quality of alarm messages Operator performance |
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Snippet | •An overview of the data-based alarm system performance metrics is presented•The common data-based performance metrics are grouped into seven categories•The... Despite significant efforts to measure and assess the performance of alarm systems, to this day, no silver bullet has been found. The majority of the existing... |
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SubjectTerms | Alarm management Alarm system performance metrics Alarm systems Alkylation Chemical plants Hydrofluoric acid Measurement Messages Operator performance Operators Performance evaluation Performance measurement Qualitative research Quality of alarm messages Silver Studies |
Title | Quality vs. quantity of alarm messages - How to measure the performance of an alarm system |
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