Knowledge-based diagnosis of process systems using procedure HAZID information

Authors:
Ágnes Werner-Stark;Erzsébet Németh;Katalin M. Hangos
Affiliations:
Department of Electrical Engineering and Information Systems, University of Pannonia, Veszprém, Hungary;School of Chemical Engineering, The University of Queensland, Brisbane, Australia;Systems and Control Laboratory, Computer and Automation Research Institute, Budapest, Hungary and Department of Electrical Engineering and Information Systems, University of Pannonia, Veszpré ...
Venue:
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Year:
2011

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Abstract

Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state operation. In order to extend this approach for transient operating conditions controlled by operating procedures, the notion of nominal input-output event sequences of qualitative signals has been introduced, and the deviations used in the procedure HAZID analysis have been defined therefrom. The diagnosis can then be performed algorithmically by matching the deviation sequences of the observed input-output event sequences and the nominal ones generated by qualitative dynamic models. The concepts and methods are illustrated using a simple case study consisting of a simple tank, controlled by an operating procedure.