The transitions between operational modes (start up/shut down) in chemical processes
generate alarm floods and cause critical alarm saturation. We propose in this paper an
approach of alarm management based on a diagnosis process. This diagnosis step relies
on situation recognition to provide to the operators relevant information on the failures
inducing the alarms flows. The situation recognition is based on chronicle recognition where
we propose to use the hybrid causal model of the system and the expertise to generate the …