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Online anomaly detection of distillation tower system using adaptive resonance theory

An anomaly detection system based on adaptive response theory (ART) for industrial plants was proposed. The detection system has several ART applied to subsystems of the plant to narrow down the cause of the anomalies. An examination of online anomaly detection tests on whether or not the proposed s...

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Main Authors: Hori, Y., Yamamoto, H., Suzuki, T., Okitsu, J., Nakamura, T., Maeda, T., Matsuo, T., Bt Zabiri, H., Tufa, L.D., Marappagounder, R.
Format: Article
Published: Society of Chemical Engineers, Japan 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021771504&doi=10.1252%2fjcej.16we360&partnerID=40&md5=16b24700ec35c605987056f6ef0e5875
http://eprints.utp.edu.my/19754/
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spelling my.utp.eprints.197542018-04-20T07:37:21Z Online anomaly detection of distillation tower system using adaptive resonance theory Hori, Y. Yamamoto, H. Suzuki, T. Okitsu, J. Nakamura, T. Maeda, T. Matsuo, T. Bt Zabiri, H. Tufa, L.D. Marappagounder, R. An anomaly detection system based on adaptive response theory (ART) for industrial plants was proposed. The detection system has several ART applied to subsystems of the plant to narrow down the cause of the anomalies. An examination of online anomaly detection tests on whether or not the proposed system is applicable to a distillation tower system was performed. Four cases of anomaly operations, e.g., valve sticking and tray upset, that would cause quality or yield losses in the product were considered. Learning normal operation data revealed that the proposed system successfully detected the anomalies in all cases, and no false positives were noted in normal operation. Additionally, the system narrowed down the cause of the anomalies through using the results of each ART system, thus, demonstrating the applicability of the system for the distillation tower system. Society of Chemical Engineers, Japan 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021771504&doi=10.1252%2fjcej.16we360&partnerID=40&md5=16b24700ec35c605987056f6ef0e5875 Hori, Y. and Yamamoto, H. and Suzuki, T. and Okitsu, J. and Nakamura, T. and Maeda, T. and Matsuo, T. and Bt Zabiri, H. and Tufa, L.D. and Marappagounder, R. (2017) Online anomaly detection of distillation tower system using adaptive resonance theory. Journal of Chemical Engineering of Japan, 50 (6Speci). pp. 430-438. http://eprints.utp.edu.my/19754/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description An anomaly detection system based on adaptive response theory (ART) for industrial plants was proposed. The detection system has several ART applied to subsystems of the plant to narrow down the cause of the anomalies. An examination of online anomaly detection tests on whether or not the proposed system is applicable to a distillation tower system was performed. Four cases of anomaly operations, e.g., valve sticking and tray upset, that would cause quality or yield losses in the product were considered. Learning normal operation data revealed that the proposed system successfully detected the anomalies in all cases, and no false positives were noted in normal operation. Additionally, the system narrowed down the cause of the anomalies through using the results of each ART system, thus, demonstrating the applicability of the system for the distillation tower system.
format Article
author Hori, Y.
Yamamoto, H.
Suzuki, T.
Okitsu, J.
Nakamura, T.
Maeda, T.
Matsuo, T.
Bt Zabiri, H.
Tufa, L.D.
Marappagounder, R.
spellingShingle Hori, Y.
Yamamoto, H.
Suzuki, T.
Okitsu, J.
Nakamura, T.
Maeda, T.
Matsuo, T.
Bt Zabiri, H.
Tufa, L.D.
Marappagounder, R.
Online anomaly detection of distillation tower system using adaptive resonance theory
author_facet Hori, Y.
Yamamoto, H.
Suzuki, T.
Okitsu, J.
Nakamura, T.
Maeda, T.
Matsuo, T.
Bt Zabiri, H.
Tufa, L.D.
Marappagounder, R.
author_sort Hori, Y.
title Online anomaly detection of distillation tower system using adaptive resonance theory
title_short Online anomaly detection of distillation tower system using adaptive resonance theory
title_full Online anomaly detection of distillation tower system using adaptive resonance theory
title_fullStr Online anomaly detection of distillation tower system using adaptive resonance theory
title_full_unstemmed Online anomaly detection of distillation tower system using adaptive resonance theory
title_sort online anomaly detection of distillation tower system using adaptive resonance theory
publisher Society of Chemical Engineers, Japan
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021771504&doi=10.1252%2fjcej.16we360&partnerID=40&md5=16b24700ec35c605987056f6ef0e5875
http://eprints.utp.edu.my/19754/
_version_ 1738656114769133568
score 13.211869

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