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Detection and severity identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks

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Main Authors: Henry, YYS, Aldrich, C, Zabiri, H
Format: Article
Published: Elsevier 2020
Online Access:http://scholars.utp.edu.my/id/eprint/34727/
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spelling oai:scholars.utp.edu.my:347272023-03-20T03:18:47Z http://scholars.utp.edu.my/id/eprint/34727/ Detection and severity identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks Henry, YYS Aldrich, C Zabiri, H Elsevier 2020 Article NonPeerReviewed Henry, YYS and Aldrich, C and Zabiri, H (2020) Detection and severity identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks. Chemometrics and Intelligent Laboratory Systems, 206. p. 104143.
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/
format Article
author Henry, YYS
Aldrich, C
Zabiri, H
spellingShingle Henry, YYS
Aldrich, C
Zabiri, H
Detection and severity identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks
author_facet Henry, YYS
Aldrich, C
Zabiri, H
author_sort Henry, YYS
title Detection and severity identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks
title_short Detection and severity identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks
title_full Detection and severity identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks
title_fullStr Detection and severity identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks
title_full_unstemmed Detection and severity identification of control valve stiction in industrial loops using integrated partially retrained CNN-PCA frameworks
title_sort detection and severity identification of control valve stiction in industrial loops using integrated partially retrained cnn-pca frameworks
publisher Elsevier
publishDate 2020
url http://scholars.utp.edu.my/id/eprint/34727/
_version_ 1761621134084669440
score 13.214268

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