文章基本信息

标题：Causal analysis for alarm flood reduction
本地全文：下载
作者：Vicent Rodrigo ; Moncef Chioua ; Tore Hagglund 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：7
页码：723-728
DOI：10.1016/j.ifacol.2016.07.269
语种：English
出版社：Elsevier
摘要：The introduction of distributed control systems and the high level of interconnectivity of modern process plants has caused alarm flooding to become one of the main problems in alarm management of process plants. A reduction of alarm flood periods contributes to a decrease in plant incidents. In this work, a combination of alarm log, process data and connectivity analysis is used to isolate consequence alarms originating from the same process abnormality and to provide a causal alarm suggestion. The effectiveness of the method is illustrated on an industrial case study of an ethylene plant, a typical example of a large-scale industrial system.
关键词：alarm systemsfault detection and diagnosisroot-causeplant-wide disturbanceplant connectivityapproximate sequence matchinglarge-scale systems