A Black-Box Approach in Modeling Valve Stiction

Several valve stiction models have been proposed in the literature to help understand and study the behavior of sticky valves. In this paper, an alternative black-box modeling approach based on Neural Network (NN) is presented. It is shown that with proper network type and optimum model structur...

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Main Authors: H., Zabiri, N., Mazuki
Format: Article
Published: WASET 2010
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Online Access:http://eprints.utp.edu.my/3730/1/v4-1-2.pdf
http://www.waset.org/journals/ijeas/v6/v6-5-42.pdf
http://eprints.utp.edu.my/3730/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.37302017-01-19T08:24:42Z A Black-Box Approach in Modeling Valve Stiction H., Zabiri N., Mazuki TP Chemical technology Several valve stiction models have been proposed in the literature to help understand and study the behavior of sticky valves. In this paper, an alternative black-box modeling approach based on Neural Network (NN) is presented. It is shown that with proper network type and optimum model structures, the performance of the developed NN stiction model is comparable to other established method. The resulting NN model is also tested for its robustness against the uncertainty in the stiction parameter values. Predictive mode operation also shows excellent performance of the proposed model for multi-steps ahead prediction. WASET 2010 Article PeerReviewed application/pdf http://eprints.utp.edu.my/3730/1/v4-1-2.pdf http://www.waset.org/journals/ijeas/v6/v6-5-42.pdf H., Zabiri and N., Mazuki (2010) A Black-Box Approach in Modeling Valve Stiction. International Journal of Engineering and Applied Sciences, 6 (5). pp. 277-284. ISSN 2070-3880 http://eprints.utp.edu.my/3730/
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
N., Mazuki
A Black-Box Approach in Modeling Valve Stiction
description Several valve stiction models have been proposed in the literature to help understand and study the behavior of sticky valves. In this paper, an alternative black-box modeling approach based on Neural Network (NN) is presented. It is shown that with proper network type and optimum model structures, the performance of the developed NN stiction model is comparable to other established method. The resulting NN model is also tested for its robustness against the uncertainty in the stiction parameter values. Predictive mode operation also shows excellent performance of the proposed model for multi-steps ahead prediction.
format Article
author H., Zabiri
N., Mazuki
author_facet H., Zabiri
N., Mazuki
author_sort H., Zabiri
title A Black-Box Approach in Modeling Valve Stiction
title_short A Black-Box Approach in Modeling Valve Stiction
title_full A Black-Box Approach in Modeling Valve Stiction
title_fullStr A Black-Box Approach in Modeling Valve Stiction
title_full_unstemmed A Black-Box Approach in Modeling Valve Stiction
title_sort black-box approach in modeling valve stiction
publisher WASET
publishDate 2010
url http://eprints.utp.edu.my/3730/1/v4-1-2.pdf
http://www.waset.org/journals/ijeas/v6/v6-5-42.pdf
http://eprints.utp.edu.my/3730/
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