A multi-setpoint delay-timer alarming strategy for industrial alarm monitoring

A multi-setpoint delay-timer alarming strategy for industrial alarm monitoring Alarm systems play an important role in industry to notify operators of abnormal and fault situations. In real industrial plants, however, a majority of abnormal alarm phenomena, including false alarms and missed alarms, always interfere with operators' judgment. Mathematical analysis of traditional univariate alarm techniques indicates that the alarm setpoint, the dynamic alarm order, and the alarm algorithm are the three main elements of alarm annunciation and alarm clearance. Based on this, we proposed a multi-setpoint delay-timer alarming strategy which optimizes the false alarm rate (FAR), the missed alarm rate (MAR), and the averaged alarm delay (AAD) by increasing the number of univariate alarm setpoints. The proposed alarming strategy is able to achieve a balance between alarming accuracy and alarming sensitivity. Its effectiveness is demonstrated with both simulation and industrial case studies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Loss Prevention in the Process Industries Elsevier

A multi-setpoint delay-timer alarming strategy for industrial alarm monitoring

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0950-4230
eISSN
1873-3352
D.O.I.
10.1016/j.jlp.2018.02.004
Publisher site
See Article on Publisher Site

Abstract

Alarm systems play an important role in industry to notify operators of abnormal and fault situations. In real industrial plants, however, a majority of abnormal alarm phenomena, including false alarms and missed alarms, always interfere with operators' judgment. Mathematical analysis of traditional univariate alarm techniques indicates that the alarm setpoint, the dynamic alarm order, and the alarm algorithm are the three main elements of alarm annunciation and alarm clearance. Based on this, we proposed a multi-setpoint delay-timer alarming strategy which optimizes the false alarm rate (FAR), the missed alarm rate (MAR), and the averaged alarm delay (AAD) by increasing the number of univariate alarm setpoints. The proposed alarming strategy is able to achieve a balance between alarming accuracy and alarming sensitivity. Its effectiveness is demonstrated with both simulation and industrial case studies.

Journal

Journal of Loss Prevention in the Process IndustriesElsevier

Published: Jul 1, 2018

References

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