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NN-based algorithm for control valve stiction quantification

Control valve stiction is the most commonly found valve problem in the process industry. Quantification of the actual amount of stiction present in a loop is an important step that may help in scheduling the optimum maintenance work for the valves. In this paper, a Neural-network based stiction...

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Main Authors: H., Zabiri, A., Maulud, N., Omar
Format: Citation Index Journal
Published: 2009
Subjects:
TP Chemical technology
Online Access:http://eprints.utp.edu.my/606/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-67650909290&partnerID=40&md5=37a1b54d2c4a1bdb0abbe7c0ca68d7f1
http://eprints.utp.edu.my/606/
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spelling my.utp.eprints.6062017-01-19T08:25:40Z NN-based algorithm for control valve stiction quantification H., Zabiri A., Maulud N., Omar TP Chemical technology Control valve stiction is the most commonly found valve problem in the process industry. Quantification of the actual amount of stiction present in a loop is an important step that may help in scheduling the optimum maintenance work for the valves. In this paper, a Neural-network based stiction quantification algorithm is developed. It is shown that the performance of the proposed quantification algorithm is comparable to other method whereby accurate estimation of the stiction amount can be achieved even in the presence of random noise. Its robustness towards external oscillating disturbances is also investigated. 2009 Citation Index Journal NonPeerReviewed application/pdf http://eprints.utp.edu.my/606/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-67650909290&partnerID=40&md5=37a1b54d2c4a1bdb0abbe7c0ca68d7f1 H., Zabiri and A., Maulud and N., Omar (2009) NN-based algorithm for control valve stiction quantification. [Citation Index Journal] http://eprints.utp.edu.my/606/
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
A., Maulud
N., Omar
NN-based algorithm for control valve stiction quantification
description Control valve stiction is the most commonly found valve problem in the process industry. Quantification of the actual amount of stiction present in a loop is an important step that may help in scheduling the optimum maintenance work for the valves. In this paper, a Neural-network based stiction quantification algorithm is developed. It is shown that the performance of the proposed quantification algorithm is comparable to other method whereby accurate estimation of the stiction amount can be achieved even in the presence of random noise. Its robustness towards external oscillating disturbances is also investigated.
format Citation Index Journal
author H., Zabiri
A., Maulud
N., Omar
author_facet H., Zabiri
A., Maulud
N., Omar
author_sort H., Zabiri
title NN-based algorithm for control valve stiction quantification
title_short NN-based algorithm for control valve stiction quantification
title_full NN-based algorithm for control valve stiction quantification
title_fullStr NN-based algorithm for control valve stiction quantification
title_full_unstemmed NN-based algorithm for control valve stiction quantification
title_sort nn-based algorithm for control valve stiction quantification
publishDate 2009
url http://eprints.utp.edu.my/606/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-67650909290&partnerID=40&md5=37a1b54d2c4a1bdb0abbe7c0ca68d7f1
http://eprints.utp.edu.my/606/
_version_ 1738655080543944704
score 13.18916

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