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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Németh, E., Lakner, R., Hangos, K.M., Cameron, I.T. (2005). Prediction-Based Diagnosis and Loss Prevention Using Model-Based Reasoning. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_52
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DOI: https://doi.org/10.1007/11504894_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26551-1
Online ISBN: 978-3-540-31893-4
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