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Plant-wide fault and disturbance screening using combined network centrality and information-theoretic causality measure analysis
Dissertation (MEng)--University of Pretoria, 2018.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2019
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| _version_ | 1867613467138064384 |
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| access_status_str | Open Access |
| author2 | Sandrock, Carl |
| author_browse | Sandrock, Carl |
| author_facet | Sandrock, Carl |
| collection | Thesis |
| dc_rights_str_mv | © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MEng)--University of Pretoria, 2018. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/70898 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:36.461Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/70898 Plant-wide fault and disturbance screening using combined network centrality and information-theoretic causality measure analysis Sandrock, Carl streichersj@gmail.com Streicher, Simon UCTD Prioritisation Maintenance Fault detection Connectivity Causal mapping Engineering, built environment and information technology theses SDG-08 Engineering, built environment and information technology theses SDG-09 Engineering, built environment and information technology theses SDG-12 Dissertation (MEng)--University of Pretoria, 2018. Finding the source of a disturbance in complex systems such as industrial chemical processing plants can be a difficult task and require a significant amount of engineering hours. In many cases, a systematic elimination procedure is considered to be the only feasible approach but can cause significant process upsets. Practitioners desire robust alternative approaches. This study evaluates methods for ranking process elements according to the magnitude of their influence in a complex system. The use of data-driven causality estimation techniques to infer an information transfer network among process elements is studied. Graph centrality measures are then applied to rank the process elements according to their overall effect. A software implementation of the proposed methods forms part of this work. Sasol mi2026 Chemical Engineering MEng Unrestricted SDG-08: Decent work and economic growth SDG-09: Industry, innovation and infrastructure SDG-12: Responsible consumption and production 2019-08-06T14:15:19Z 2019-08-06T14:15:19Z 2019-09-03 2018 Dissertation Streicher, S 2018, Plant-wide fault and disturbance screening using combined network centrality and information-theoretic causality measure analysis, MEng Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/70898> A2020 http://hdl.handle.net/2263/70898 en © 2019 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Prioritisation Maintenance Fault detection Connectivity Causal mapping Engineering, built environment and information technology theses SDG-08 Engineering, built environment and information technology theses SDG-09 Engineering, built environment and information technology theses SDG-12 Plant-wide fault and disturbance screening using combined network centrality and information-theoretic causality measure analysis |
| title | Plant-wide fault and disturbance screening using combined network centrality and information-theoretic causality measure analysis |
| title_full | Plant-wide fault and disturbance screening using combined network centrality and information-theoretic causality measure analysis |
| title_fullStr | Plant-wide fault and disturbance screening using combined network centrality and information-theoretic causality measure analysis |
| title_full_unstemmed | Plant-wide fault and disturbance screening using combined network centrality and information-theoretic causality measure analysis |
| title_short | Plant-wide fault and disturbance screening using combined network centrality and information-theoretic causality measure analysis |
| title_sort | plant wide fault and disturbance screening using combined network centrality and information theoretic causality measure analysis |
| topic | UCTD Prioritisation Maintenance Fault detection Connectivity Causal mapping Engineering, built environment and information technology theses SDG-08 Engineering, built environment and information technology theses SDG-09 Engineering, built environment and information technology theses SDG-12 |
| url | http://hdl.handle.net/2263/70898 |