Qualitative event-based expert supervision part2: Distillation start-up condition monitoring

Flávio Neves-Jr; Joseph Aguilar-Martin

doi:10.1007/3-540-64574-8_408

Qualitative event-based expert supervision part2: Distillation start-up condition monitoring

Flávio Neves-Jr
, Joseph Aguilar-Martin

Institute of Informatics and Applications

LAAS CNRS

Research output: Chapter in Book/Conference proceeding › Conference proceeding › peer-review

2 Citations (Scopus)

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 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.

Original language	English
Title of host publication	Tasks and Methods in Applied Artificial Intelligence - 11 th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE, Proceedings
Editors	Moonis Ali, Angel Pasqual del Pobil, Jose Mira
Publisher	Springer Verlag
Pages	221-229
Number of pages	9
ISBN (Print)	3540645748, 9783540645740
DOIs	https://doi.org/10.1007/3-540-64574-8_408
Publication status	Published - 1998
Event	11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE - Benicassim, Spain Duration: 1 Jun 1998 → 4 Jun 1998

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1416
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE
Country/Territory	Spain
City	Benicassim
Period	1/06/98 → 4/06/98

Access to Document

10.1007/3-540-64574-8_408

Cite this

Neves-Jr, F., & Aguilar-Martin, J. (1998). Qualitative event-based expert supervision part2: Distillation start-up condition monitoring. In M. Ali, A. P. del Pobil, & J. Mira (Eds.), Tasks and Methods in Applied Artificial Intelligence - 11 th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE, Proceedings (pp. 221-229). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1416). Springer Verlag. https://doi.org/10.1007/3-540-64574-8_408

Neves-Jr, Flávio ; Aguilar-Martin, Joseph. / Qualitative event-based expert supervision part2 : Distillation start-up condition monitoring. Tasks and Methods in Applied Artificial Intelligence - 11 th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE, Proceedings. editor / Moonis Ali ; Angel Pasqual del Pobil ; Jose Mira. Springer Verlag, 1998. pp. 221-229 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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 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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Neves-Jr, F & Aguilar-Martin, J 1998, Qualitative event-based expert supervision part2: Distillation start-up condition monitoring. in M Ali, AP del Pobil & J Mira (eds), Tasks and Methods in Applied Artificial Intelligence - 11 th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1416, Springer Verlag, pp. 221-229, 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE, Benicassim, Spain, 1/06/98. https://doi.org/10.1007/3-540-64574-8_408

Qualitative event-based expert supervision part2: Distillation start-up condition monitoring. / Neves-Jr, Flávio; Aguilar-Martin, Joseph.
Tasks and Methods in Applied Artificial Intelligence - 11 th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE, Proceedings. ed. / Moonis Ali; Angel Pasqual del Pobil; Jose Mira. Springer Verlag, 1998. p. 221-229 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1416).

Research output: Chapter in Book/Conference proceeding › Conference proceeding › peer-review

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AU - Neves-Jr, Flávio

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N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 1998.

PY - 1998

Y1 - 1998

N2 - 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 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.

AB - 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 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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DO - 10.1007/3-540-64574-8_408

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SN - 9783540645740

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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PB - Springer Verlag

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Neves-Jr F, Aguilar-Martin J. Qualitative event-based expert supervision part2: Distillation start-up condition monitoring. In Ali M, del Pobil AP, Mira J, editors, Tasks and Methods in Applied Artificial Intelligence - 11 th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE, Proceedings. Springer Verlag. 1998. p. 221-229. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-64574-8_408

Qualitative event-based expert supervision part2: Distillation start-up condition monitoring

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