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Permanent link (DOI): https://doi.org/10.7939/R3F04D

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Plant-wide Performance Monitoring and Controller Prioritization Open Access

Descriptions

Other title
Subject/Keyword
Recursive Feature Elimination
Controller Prioritization
Tennessee Eastman Process
Plant-wide performance monitoring
Support Vector Machines
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Pareek, Samidh
Supervisor and department
Shah, Sirish L. (Chemical and Materials Engineering)
Examining committee member and department
Chen, Tongwen (Electrical and Computer Engineering)
Prasad, Vinay (Chemical and Materials Engineering)
Zhang, Hao (Chemical and Materials Engineering)
Department
Department of Chemical and Materials Engineering
Specialization

Date accepted
2011-04-15T16:11:02Z
Graduation date
2011-06
Degree
Master of Science
Degree level
Master's
Abstract
Plant-wide performance monitoring has generated a lot of interest in the control engineering community. The idea is to judge the performance of a plant as a whole rather than looking at performance of individual controllers. Data based methods are currently used to generate a variety of statistical performance indices to help us judge the performance of production units and control assets. However, so much information can often be overwhelming if it lacks precise information. Powerful computing and data storage capabilities have enabled industries to store huge amounts of data. Commercial performance monitoring softwares such as those available from many vendor companies such as Honeywell, Matrikon, ExperTune etc typically use this data to generate huge amounts of information. The problem of data overload has in this way turned into an information overload problem. This work focuses on developing methods that reconcile these various statistical measures of performance and generate useful diagnostic measures in order to optimize process performance of a unit/plant. These methods are also able to identify the relative importance of controllers in the way that they affect the performance of the unit/plant under consideration.
Language
English
DOI
doi:10.7939/R3F04D
Rights
License granted by Samidh Pareek (pareek@ualberta.ca) on 2011-04-15T12:51:38Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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