Abstract: Nowadays the cost of alarms inclusion in automation systems is relatively low and so the volume of information exceed the operator′s ability to carry out effective actions during operation of the process. Present in industrial processes as SCADA (Supervisory Control and Data Acquisition), alarm management systems stores data and information. Applying proper analysis, it is possible to acquire useful knowledge from the plant that can be helpful for a decision-making system. Our work focus in a context-aware ontological approach applied to an alarm system. The occurrence of certain events determines a situation allowing the system and operators to react appropriately according to the context of interest. To validate our approach a case study based on a steam turbine for electricity generation is presented, where a situation of a vibration alarm is properly inferred by our architecture.
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