Title :
Conceptual framework for an event-based plant alarm system
Author :
Ahmed, Salim ; Dalpatadu, Pradeep ; Khan, Faisal
Author_Institution :
Dept. of Process Eng., Memorial Univ., St. John´s, NL, Canada
Abstract :
An event-based plant alarm system is proposed as an alternative to the current variable-based alarm system used in the process industry. While a traditional variable-based process alarm indicates an unsafe deviation of a process variable, an event alarm will be a direct indicator of an undesired event. A conceptual framework for the design of such an alarm processor is outlined in this article. A methodology for allocation of alarms based on the information content of variables is highlighted. The annunciation philosophy for event alarms is detailed, and alarm prioritization method and operator guidance are discussed. The method uses Bayesian network and Bayesian inference to estimate probability of an event and to identify its root causes.
Keywords :
alarm systems; belief networks; control engineering computing; estimation theory; industrial plants; inference mechanisms; safety; Bayesian inference; Bayesian network; alarm allocation; alarm prioritization method; alarm processor; annunciation philosophy; conceptual framework; event-based plant alarm system; information content; operator guidance; probability estimation; process industry; variable-based alarm system; variable-based process alarm; Alarm systems; Bayes methods; Mutual information; Noise measurement; Safety; Time factors; Alarm; Bayesian network; event; information theory;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7052762