Prediction-based diagnosis and loss prevention using model-based reasoning
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Introduction to Discrete Event Systems
Introduction to Discrete Event Systems
A Procedure Ontology for Advanced Diagnosis of Process Systems
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I
Multiagent realization of prediction-based diagnosis and loss prevention
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Safe diagnosability for fault-tolerant supervision of discrete-event systems
Automatica (Journal of IFAC)
Knowledge-based diagnosis of process systems using procedure HAZID information
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Hybrid approaches for approximate reasoning
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An ontology for representing operating, safety and control procedures is proposed in this paper that descibes the procedure steps and their connections, and enables to represent exceptions during the normal flow of execution in terms of time-out and failed conditions. The procedure ontology is defined within interconnected components of the process plant and the diagnostic analysis based on risk assessment information, and has been implemented as an integrated ontology in a diagnostic framework using the the Protégé ontology editor. A novel diagnostic method based on following these procedures and combining observed malfunctions with Failure Mode and Effects Analysis (FMEA) information is also proposed. The proposed ontology and the diagnostic method are illustrated on a simple operating procedure.