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Neural Network Modeling of Valve Stiction Dynamics

Stiction is the most commonly found valve problem in the process industry. Valve stiction may cause oscillations in control loops which increases variability in product quality, accelerates equipment wear and tear, or leads to system instability. In this paper, we present a new approach in contr...

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Main Authors: H., Zabiri, Y., Samyudia, W. N. W. M. , Zainudin
Format: Conference or Workshop Item
Published: 2007
Subjects:
TP Chemical technology
Online Access:http://eprints.utp.edu.my/3748/1/WCECS2007_pp108-113.pdf
http://www.iaeng.org/publication/WCECS2007/WCECS2007_pp108-113.pdf
http://eprints.utp.edu.my/3748/
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spelling my.utp.eprints.37482017-01-19T08:27:03Z Neural Network Modeling of Valve Stiction Dynamics H., Zabiri Y., Samyudia W. N. W. M. , Zainudin TP Chemical technology Stiction is the most commonly found valve problem in the process industry. Valve stiction may cause oscillations in control loops which increases variability in product quality, accelerates equipment wear and tear, or leads to system instability. In this paper, we present a new approach in control valve stiction modeling using Recurrent Neural-Network with NARX structure. It is shown that the performance of the developed model is comparable to other models reported in literature. 2007 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/3748/1/WCECS2007_pp108-113.pdf http://www.iaeng.org/publication/WCECS2007/WCECS2007_pp108-113.pdf H., Zabiri and Y., Samyudia and W. N. W. M. , Zainudin (2007) Neural Network Modeling of Valve Stiction Dynamics. In: Proceedings of the World Congress on Engineering and Computer Science 2007, October 24-26, 2007, San Francisco, USA. http://eprints.utp.edu.my/3748/
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/
topic TP Chemical technology
spellingShingle TP Chemical technology
H., Zabiri
Y., Samyudia
W. N. W. M. , Zainudin
Neural Network Modeling of Valve Stiction Dynamics
description Stiction is the most commonly found valve problem in the process industry. Valve stiction may cause oscillations in control loops which increases variability in product quality, accelerates equipment wear and tear, or leads to system instability. In this paper, we present a new approach in control valve stiction modeling using Recurrent Neural-Network with NARX structure. It is shown that the performance of the developed model is comparable to other models reported in literature.
format Conference or Workshop Item
author H., Zabiri
Y., Samyudia
W. N. W. M. , Zainudin
author_facet H., Zabiri
Y., Samyudia
W. N. W. M. , Zainudin
author_sort H., Zabiri
title Neural Network Modeling of Valve Stiction Dynamics
title_short Neural Network Modeling of Valve Stiction Dynamics
title_full Neural Network Modeling of Valve Stiction Dynamics
title_fullStr Neural Network Modeling of Valve Stiction Dynamics
title_full_unstemmed Neural Network Modeling of Valve Stiction Dynamics
title_sort neural network modeling of valve stiction dynamics
publishDate 2007
url http://eprints.utp.edu.my/3748/1/WCECS2007_pp108-113.pdf
http://www.iaeng.org/publication/WCECS2007/WCECS2007_pp108-113.pdf
http://eprints.utp.edu.my/3748/
_version_ 1738655290548551680
score 13.154949

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