文章基本信息

标题：Cause and Effect Analysis for Decision Support in Alarm Floods * * This work was supported by the Natural Sciences and Engineering Research Council of Canada via the CRD program
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作者：Wenkai Hu ; Tongwen Chen ; Sirish L. Shah 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：13940-13945
DOI：10.1016/j.ifacol.2017.08.2215
语种：English
出版社：Elsevier
摘要：AbstractThe presence of faults in large-scale facilities, quite frequently propagates plant-wide due to energy integration and consequently triggers a sequence of alarms, which are known as alarm floods. For the purpose of decision support in the root cause identification of alarm floods, this paper presents a framework to combine causality inference using both process and alarm data. The method includes the following main steps: first, alarm floods are identified from alarm data; second, root cause alarms are detected through cause and effect analysis; third, associated process variables are extracted and causal relations are confirmed. Using this method, the number of alarm tags analyzed for root cause identification is short-listed. Causal relations between the corresponding short-listed process variables are then used to support root cause analysis. The practical utility of the method is demonstrated by application to an industrial dataset for which both process and alarm data are available.
关键词：KeywordsCausality inferencealarm systemalarm floodstransfer entropy