Towards Accurate Root-Alarm Identification: The Causal Bayesian Network Approach

Alarm management systems in the process industry use root-cause analysis methods to reduce alarm logs. To enable the application of these methods in different plant types, the alarm characteristics of a continuous, two discrete, and a hybrid plant are examined. The main contribution is threefold. First, root-cause analysis requirements, posed by different plant types, are revealed. Next, existing approaches are assessed against the requirements. Since the root-cause is not necessarily the first alarm in time, its justification requires further plant knowledge. Thus, engineering documents and the necessary formalized knowledge to justify root-causes are identified.

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Towards Accurate Root-Alarm Identification: The Causal Bayesian Network Approach

Cited by 4 publications

References 19 publications

A review of alarm root cause analysis in process industries: Common methods, recent research status and challenges

A review of alarm root cause analysis in process industries: Common methods, recent research status and challenges

Dynamic Causal Analysis with Operator-Centric Visualization for Managing Industrial Alarm Floods

Exploring challenges of alarm root-cause analysis across varying production process types

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