Diagnosis of power plant faults using qualitative models and heuristic rules

Authors:
Irina Obreja
Affiliations:
Technical University of Vienna, Paniglgasse 16, A-1040 Vienna, Austria
Venue:
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
Year:
1990

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Abstract

This paper presents results obtained in an AI research effort in the industrial field of Nuclear Power Plants (NPP): malfunction diagnosis of the Emergency Feedwater System (EFWS) of a NPP. An expert system was developed which utilizes qualitative techniques for modeling the system and heuristic rules for generating causal explanations of an observed malfunction. The operation of the system, the model and the global inference mechanism are discussed. Another purpose of the paper is to present the pro and cons of this approach in this application of industrial relevance.