Abstract
A diagnostic expert system established on model-based reasoning for on-line diagnosis and loss prevention is described in the paper. Its diagnostic "cause-effect" rules and possible actions (suggestions) are extracted from the results of standard HAZOP analysis. Automatic focusing as well as "what-if" type reasoning for testing hypothetical actions have been also implemented. The diagnostic system is tested on a granulator drum of a fertilizer plant in a simulation test-bed. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Németh, E., Lakner, R., Hangos, K. M., & Cameron, I. T. (2005). Prediction-based diagnosis and loss prevention using model-based reasoning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3533 LNAI, pp. 367–369). Springer Verlag. https://doi.org/10.1007/11504894_52
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