Process Monitoring and Supervisory Control via On-line Simulations: An Application to a Complex Reactor System
In this paper, a framework for implementing complicated process models on-line with real-time process data is presented. This framework is applied to a detailed process model for a complex reaction process. The model calculations provide estimates of unmeasured, but important, process variables incl...
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creator | Molle, David T. Dalle Basila, Michael R. |
description | In this paper, a framework for implementing complicated process models on-line with real-time process data is presented. This framework is applied to a detailed process model for a complex reaction process. The model calculations provide estimates of unmeasured, but important, process variables including key product quality indicators. Furthermore, the model provides indications of many process variables which are measured. The estimates of process variables can be compared to their measured counterparts to provide a basis for fault diagnosis when plant and model are not in agreement. |
doi_str_mv | 10.23919/ACC.1993.4793205 |
format | Conference Proceeding |
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Dalle ; Basila, Michael R.</creator><creatorcontrib>Molle, David T. Dalle ; Basila, Michael R.</creatorcontrib><description>In this paper, a framework for implementing complicated process models on-line with real-time process data is presented. This framework is applied to a detailed process model for a complex reaction process. The model calculations provide estimates of unmeasured, but important, process variables including key product quality indicators. Furthermore, the model provides indications of many process variables which are measured. 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Dalle</creatorcontrib><creatorcontrib>Basila, Michael R.</creatorcontrib><title>Process Monitoring and Supervisory Control via On-line Simulations: An Application to a Complex Reactor System</title><title>1993 American Control Conference</title><addtitle>ACC</addtitle><description>In this paper, a framework for implementing complicated process models on-line with real-time process data is presented. This framework is applied to a detailed process model for a complex reaction process. The model calculations provide estimates of unmeasured, but important, process variables including key product quality indicators. Furthermore, the model provides indications of many process variables which are measured. The estimates of process variables can be compared to their measured counterparts to provide a basis for fault diagnosis when plant and model are not in agreement.</description><subject>Chemical processes</subject><subject>Chemical reactors</subject><subject>Data mining</subject><subject>Distributed control</subject><subject>Inductors</subject><subject>Influenza</subject><subject>Monitoring</subject><subject>Predictive models</subject><subject>Supervisory control</subject><isbn>0780308603</isbn><isbn>9780780308602</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9j0FLxDAUhAOysOruDxAv7w-0pk1rNt5KUbyIYve-hPqUJ-lLSLKL_fcW2bNzGZiPGRghbipZ1spU5q7r-7IyRpWNNqqW7YW4knonldzdS7USa1MXbaO1WYttSt9yUdtq01SXgt-iHzElePFM2UfiL7D8AcMxYDxR8nGG3nOO3sGJLLxy4YgRBpqOzmbynB6gY-hCcDT-BZA92KU0BYc_8I52XHZhmFPGaSNWn9Yl3J79Wtw-Pe7754IQ8RAiTTbOh_ML9T_9BVDvS1w</recordid><startdate>199306</startdate><enddate>199306</enddate><creator>Molle, David T. 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Dalle</creatorcontrib><creatorcontrib>Basila, Michael R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Molle, David T. Dalle</au><au>Basila, Michael R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Process Monitoring and Supervisory Control via On-line Simulations: An Application to a Complex Reactor System</atitle><btitle>1993 American Control Conference</btitle><stitle>ACC</stitle><date>1993-06</date><risdate>1993</risdate><spage>1885</spage><epage>1889</epage><pages>1885-1889</pages><isbn>0780308603</isbn><isbn>9780780308602</isbn><abstract>In this paper, a framework for implementing complicated process models on-line with real-time process data is presented. This framework is applied to a detailed process model for a complex reaction process. The model calculations provide estimates of unmeasured, but important, process variables including key product quality indicators. Furthermore, the model provides indications of many process variables which are measured. The estimates of process variables can be compared to their measured counterparts to provide a basis for fault diagnosis when plant and model are not in agreement.</abstract><pub>IEEE</pub><doi>10.23919/ACC.1993.4793205</doi></addata></record> |
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identifier | ISBN: 0780308603 |
ispartof | 1993 American Control Conference, 1993, p.1885-1889 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Chemical processes Chemical reactors Data mining Distributed control Inductors Influenza Monitoring Predictive models Supervisory control |
title | Process Monitoring and Supervisory Control via On-line Simulations: An Application to a Complex Reactor System |
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