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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2007
|
| Subjects: | |
| 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/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Petronas |
| id |
my.utp.eprints.3748 |
|---|---|
| record_format |
eprints |
| 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 |