Online Alarm Flood Classification Using Alarm Coactivations
Matthieu Lucke, Moncef Chioua, Chriss Grimholt, Martin Hollender, Nina F. Thornhill · Zenodo (CERN European Organization for Nuclear Research) · 2018
Alarms indicate abnormal operation of the process plants and alarm floods constitute specific abnormal episodes that cannot be handled safely by the operators. In that regard, online alarm flood classification based on a bank of past historical episodes provides support on how to handle ongoing alarm sequences. This paper introduces a new approach based on alarm coactivations that is appropriate for the analysis of ongoing sequences. The method shows improvements when compared to an established sequence alignment approach for abnormal episode analysis of a gas oil separation plant.