Ontology-based fault diagnosis for industrial control applications
Martin Melik-Merkumians, Alois Zoitl, Thomas Moser · 2010
Traditional fault detection systems in industrial control applications are just able to report occurring faults. Fault diagnosis systems are more desirable for plant operators, as such systems are capable to reduce the number of occurring alarms by elimination of consecutive alarms and prioritization of critical alarms. The disadvantage of those systems is that they have to be implemented anew for every control application, as the system dependencies vary from application to application. Ontology-based fault diagnosis systems do not have this disadvantage. Only the ontology has to be created for the new system, which greatly reduces time and effort for new systems, as old ontologies can be reused for the new system.