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Permanent link (DOI): https://doi.org/10.7939/R33D66

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Developing Industrial Workflows from Process Data Open Access

Descriptions

Other title
Subject/Keyword
Orchestrated workflows
Operational knowledge
Industrial workflows
Workflow strategies
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Dasani, Sridhar
Supervisor and department
Shah, Sirish (Chemical & Materials Engineering)
Chen, Tongwen (Department of Electrical and Computer Engineering)
Examining committee member and department
Pedrycz, Witold (Department of Electrical and Computer Engineering)
Shah, Sirish (Chemical & Materials Engineering)
Chen, Tongwen (Department of Electrical and Computer Engineering)
Department
Department of Chemical and Materials Engineering
Specialization
Process Control
Date accepted
2013-09-25T15:24:01Z
Graduation date
2013-11
Degree
Master of Science
Degree level
Master's
Abstract
An industrial workflow represents a sequence of tasks performed by an operator in controlling or monitoring a process. Developing industrial workflows refers to the technique of capturing the best operating practice(s) to handle a specific event encountered in process operations. In this work, workflow strategies are developed that capture expert knowledge by analyzing the event logs of how the most experienced plant operators have dealt with infrequent process operations such as a boiler start-up and shutdown procedures. We explore various data mining methods to extract valuable operational knowledge from alarm and event archives and convert them into industrial workflows. Various challenges involved in pre-processing of text-based event logs are addressed in this thesis. The applicability of these workflow strategies is demonstrated with live orchestrated workflows developed for boiler and pipeline operations. The proposed procedure guides operators to deal with out-of-spec events and critical emergencies in a safe and efficient manner.
Language
English
DOI
doi:10.7939/R33D66
Rights
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 these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before 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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