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Article: Continuous fuzzy petri net tool for intelligent process monitoring and control

TitleContinuous fuzzy petri net tool for intelligent process monitoring and control
Authors
Tang, RaymondPang, Grantham KHWoo, Stephen S
Issue Date1995
Citation
Ieee Transactions On Control Systems Technology, 1995, v. 3 n. 3, p. 318-329 How to Cite?
DOI: http://dx.doi.org/10.1109/87.406979
AbstractThis paper outlines the structure and implementational features of a new methodology for intelligent process control called Continuous Fuzzy Petri Net (CFPN). This methodology integrates Petri nets, fuzzy logic, and real-time expert systems to produce a powerful tool for real-time process control. This tool has been applied to the monitoring of an oil refinery processing unit. The developed system can relieve the operator from monitoring sensor data information and allow him to concentrate on the higher level interpretation of the occurrence of events. Based on an object-oriented programming style, the paper discusses how the CFPN is constructed to provide a software support environment to aid process control engineering activities such as: system modeling, operational analysis, process monitoring, and control.
Persistent Identifierhttp://hdl.handle.net/10722/155026
ISSN
1063-6536
2023 Impact Factor: 4.9
2023 SCImago Journal Rankings: 2.193
ISI Accession Number ID
WOS:A1995RR78900007

 

DC FieldValueLanguage
dc.contributor.authorTang, Raymonden_US
dc.contributor.authorPang, Grantham KHen_US
dc.contributor.authorWoo, Stephen Sen_US
dc.date.accessioned2012-08-08T08:31:33Z-
dc.date.available2012-08-08T08:31:33Z-
dc.date.issued1995en_US
dc.identifier.citationIeee Transactions On Control Systems Technology, 1995, v. 3 n. 3, p. 318-329en_US
dc.identifier.issn1063-6536en_US
dc.identifier.urihttp://hdl.handle.net/10722/155026-
dc.description.abstractThis paper outlines the structure and implementational features of a new methodology for intelligent process control called Continuous Fuzzy Petri Net (CFPN). This methodology integrates Petri nets, fuzzy logic, and real-time expert systems to produce a powerful tool for real-time process control. This tool has been applied to the monitoring of an oil refinery processing unit. The developed system can relieve the operator from monitoring sensor data information and allow him to concentrate on the higher level interpretation of the occurrence of events. Based on an object-oriented programming style, the paper discusses how the CFPN is constructed to provide a software support environment to aid process control engineering activities such as: system modeling, operational analysis, process monitoring, and control.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Transactions on Control Systems Technologyen_US
dc.titleContinuous fuzzy petri net tool for intelligent process monitoring and controlen_US
dc.typeArticleen_US
dc.identifier.emailPang, Grantham KH:gpang@eee.hku.hken_US
dc.identifier.authorityPang, Grantham KH=rp00162en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/87.406979en_US
dc.identifier.scopuseid_2-s2.0-0029373087en_US
dc.identifier.volume3en_US
dc.identifier.issue3en_US
dc.identifier.spage318en_US
dc.identifier.epage329en_US
dc.identifier.isiWOS:A1995RR78900007-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridTang, Raymond=36641776000en_US
dc.identifier.scopusauthoridPang, Grantham KH=7103393283en_US
dc.identifier.scopusauthoridWoo, Stephen S=7402852128en_US
dc.identifier.issnl1063-6536-

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