文章基本信息

标题：Online Alarm Flood Classification Using Alarm Coactivations ⁎
本地全文：下载
作者：Matthieu Lucke ; Moncef Chioua ; Chriss Grimholt 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：18
页码：345-350
DOI：10.1016/j.ifacol.2018.09.324
语种：English
出版社：Elsevier
摘要：AbstractAlarms indicate abnormal operation of the process plants and alarm floods constitute specific abnormal episodes that cannot be handled safely by the operators. In that regard, online alarm flood classification based on a bank of past historical episodes provides support on how to handle ongoing alarm sequences. This paper introduces a new approach based on alarm coactivations that is appropriate for the analysis of ongoing sequences. The method shows improvements when compared to an established sequence alignment approach for abnormal episode analysis of a gas oil separation plant.
关键词：KeywordsAlarm systemsFault detectiondiagnosisAlarm flood analysis