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Qualitative event-based expert supervision Part 2: Distillation start-up condition monitoring

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Tasks and Methods in Applied Artificial Intelligence (IEA/AIE 1998)

Abstract

The solutions to supervise start-up and shut-down operations in close loop are suitable for large industrial systems. Similarly, the batch and semi-continuous processes in order to maintain the operation in a dynamic mode. This paper considers the qualitative event-based expert supervision approach of these problems of a distillation column. The development of a general supervision in this work is based on an events generator and on a corrective actions generator. The qualitative symbols are based on fuzzy sets. In particular there are mechanisms to process the changes in the system variables from qualitative symbols.

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Associated Professor at the Institute of Applied Informatics (IliA) LEA-SICA, University of Girona, Catalonia, Spain.

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Angel Pasqual del Pobil José Mira Moonis Ali

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© 1998 Springer-Verlag Berlin Heidelberg

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Neves, F., Aguilar-Martin, J. (1998). Qualitative event-based expert supervision Part 2: Distillation start-up condition monitoring. In: Pasqual del Pobil, A., Mira, J., Ali, M. (eds) Tasks and Methods in Applied Artificial Intelligence. IEA/AIE 1998. Lecture Notes in Computer Science, vol 1416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64574-8_408

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  • DOI: https://doi.org/10.1007/3-540-64574-8_408

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  • Online ISBN: 978-3-540-69350-5

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