Causal analysis for alarm flood reduction

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• 作者：Vicent Rodrigo^* ; ^** ; ^{vicent.rodrigo.marco@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Moncef Chioua^** ; ^{moncef.chioua@de.abb.com" class="auth_mail" title="E-mail the corresponding author} ; Tore Hagglund^* ; ^{tore@control.lth.se" class="auth_mail" title="E-mail the corresponding author} ; Martin Hollender^** ; ^{martin.hollender@de.abb.com" class="auth_mail" title="E-mail the corresponding author}
• 关键词：alarm systems ; fault detection and diagnosis ; root-cause ; plant-wide disturbance ; plant connectivity ; approximate sequence matching ; large-scale systems
• 刊名：IFAC-PapersOnLine
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：49
• 期：7
• 页码：723-728
• 全文大小：832 K

文摘

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.