Extraction and Graphical Representation of Operator Responses to Multivariate Alarms in Industrial Facilities

Abstract

Expert knowledge is an important factor to achieve operational effectiveness. This work focuses on mining such knowledge on operator responses to alarms, and examining the relations between the responses and alarms from the historical Alarm & Event logs, which are commonly available in modern industrial facilities. The process mining is adapted and applied to construct dependency matrices, based on which workflow models of the operator responses to alarms are discovered. Also, a new framework for graphical representation of operator responses is proposed to give a better visualization of the extracted workflow models. To demonstrate the effectiveness of the method, an industrial case study is presented.

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