Cause analysis of representative troubles at distillation tower using discriminant analysis

In order to improve crude distillation unit (CDU) operating efficiency, a cause analysis method to identify CDU anomalies based on discriminant analysis was proposed. The method identifies sensors in CDU that behave different between during anomaly and normal period using discriminant analysis. To d...

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Main Authors: Okitsu, J., Matsuo, T., Yamamoto, H., Zabiri, H.B., Tufa, L.D., Ramasamy, M.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20649 /
Published: IEEE Computer Society 2018
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045255502&doi=10.1109%2fIEEM.2017.8290222&partnerID=40&md5=20350be557a3401d596660423329bfdf
http://eprints.utp.edu.my/20649/
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spelling utp-eprints.206492018-10-11T02:03:10Z Cause analysis of representative troubles at distillation tower using discriminant analysis Okitsu, J. Matsuo, T. Yamamoto, H. Zabiri, H.B. Tufa, L.D. Ramasamy, M. In order to improve crude distillation unit (CDU) operating efficiency, a cause analysis method to identify CDU anomalies based on discriminant analysis was proposed. The method identifies sensors in CDU that behave different between during anomaly and normal period using discriminant analysis. To detect cause of troubles with the identified sensors, category table to categorize sensors based on domain knowledge and statistical analysis using histogram were introduced. Binary distillation experiments using a mixture of ethanol and water carried out on test equipment at Universiti Teknologi PETRONAS (UTP) confirmed that the method could detect causes in 6 troubles out of total 7 heat exchanger related troubles that were experimented in the equipment. © 2017 IEEE. IEEE Computer Society 2018 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045255502&doi=10.1109%2fIEEM.2017.8290222&partnerID=40&md5=20350be557a3401d596660423329bfdf Okitsu, J. and Matsuo, T. and Yamamoto, H. and Zabiri, H.B. and Tufa, L.D. and Ramasamy, M. (2018) Cause analysis of representative troubles at distillation tower using discriminant analysis. IEEE International Conference on Industrial Engineering and Engineering Management, 2017-D . pp. 1901-1905. http://eprints.utp.edu.my/20649/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In order to improve crude distillation unit (CDU) operating efficiency, a cause analysis method to identify CDU anomalies based on discriminant analysis was proposed. The method identifies sensors in CDU that behave different between during anomaly and normal period using discriminant analysis. To detect cause of troubles with the identified sensors, category table to categorize sensors based on domain knowledge and statistical analysis using histogram were introduced. Binary distillation experiments using a mixture of ethanol and water carried out on test equipment at Universiti Teknologi PETRONAS (UTP) confirmed that the method could detect causes in 6 troubles out of total 7 heat exchanger related troubles that were experimented in the equipment. © 2017 IEEE.
format Article
author Okitsu, J.
Matsuo, T.
Yamamoto, H.
Zabiri, H.B.
Tufa, L.D.
Ramasamy, M.
spellingShingle Okitsu, J.
Matsuo, T.
Yamamoto, H.
Zabiri, H.B.
Tufa, L.D.
Ramasamy, M.
Cause analysis of representative troubles at distillation tower using discriminant analysis
author_sort Okitsu, J.
title Cause analysis of representative troubles at distillation tower using discriminant analysis
title_short Cause analysis of representative troubles at distillation tower using discriminant analysis
title_full Cause analysis of representative troubles at distillation tower using discriminant analysis
title_fullStr Cause analysis of representative troubles at distillation tower using discriminant analysis
title_full_unstemmed Cause analysis of representative troubles at distillation tower using discriminant analysis
title_sort cause analysis of representative troubles at distillation tower using discriminant analysis
publisher IEEE Computer Society
publishDate 2018
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045255502&doi=10.1109%2fIEEM.2017.8290222&partnerID=40&md5=20350be557a3401d596660423329bfdf
http://eprints.utp.edu.my/20649/
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score 11.62408