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Neural network modeling for main steam temperature system

Main Steam Temperature (MST) is non-linear, large inertia, long dead time and load dependant parameters. The paper present MST modeling method using actual plant data by utilizing MATLAB's Neural Network toolbox. The result of the simulation showed the MST model based on actual plant data is po...

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Main Authors: Mazalan, Nor A., A. Malek, Azlan, Abdul Wahid, Mazlan, Mailah, Musa
Format: Article
Language:English
Published: Penerbit UTM 2014
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/54230/1/NorA.Mazalan2014_Neuralnetworkmodelingformain.pdf
http://eprints.utm.my/id/eprint/54230/
http://dx.doi.org/10.11113/jt.v69.3151
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spelling my.utm.542302018-08-03T08:50:47Z http://eprints.utm.my/id/eprint/54230/ Neural network modeling for main steam temperature system Mazalan, Nor A. A. Malek, Azlan Abdul Wahid, Mazlan Mailah, Musa TJ Mechanical engineering and machinery Main Steam Temperature (MST) is non-linear, large inertia, long dead time and load dependant parameters. The paper present MST modeling method using actual plant data by utilizing MATLAB's Neural Network toolbox. The result of the simulation showed the MST model based on actual plant data is possible but the raw data need to be pre-processed for better output. Generator output, total main steam flow, main steam pressure and total spray flow are four main parameters affected the behavior of MST in coal fired power plant boiler Penerbit UTM 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/54230/1/NorA.Mazalan2014_Neuralnetworkmodelingformain.pdf Mazalan, Nor A. and A. Malek, Azlan and Abdul Wahid, Mazlan and Mailah, Musa (2014) Neural network modeling for main steam temperature system. Jurnal Teknologi (Sciences and Engineering), 69 (3). pp. 93-97. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v69.3151 DOI: 10.11113/jt.v69.3151
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Mazalan, Nor A.
A. Malek, Azlan
Abdul Wahid, Mazlan
Mailah, Musa
Neural network modeling for main steam temperature system
description Main Steam Temperature (MST) is non-linear, large inertia, long dead time and load dependant parameters. The paper present MST modeling method using actual plant data by utilizing MATLAB's Neural Network toolbox. The result of the simulation showed the MST model based on actual plant data is possible but the raw data need to be pre-processed for better output. Generator output, total main steam flow, main steam pressure and total spray flow are four main parameters affected the behavior of MST in coal fired power plant boiler
format Article
author Mazalan, Nor A.
A. Malek, Azlan
Abdul Wahid, Mazlan
Mailah, Musa
author_facet Mazalan, Nor A.
A. Malek, Azlan
Abdul Wahid, Mazlan
Mailah, Musa
author_sort Mazalan, Nor A.
title Neural network modeling for main steam temperature system
title_short Neural network modeling for main steam temperature system
title_full Neural network modeling for main steam temperature system
title_fullStr Neural network modeling for main steam temperature system
title_full_unstemmed Neural network modeling for main steam temperature system
title_sort neural network modeling for main steam temperature system
publisher Penerbit UTM
publishDate 2014
url http://eprints.utm.my/id/eprint/54230/1/NorA.Mazalan2014_Neuralnetworkmodelingformain.pdf
http://eprints.utm.my/id/eprint/54230/
http://dx.doi.org/10.11113/jt.v69.3151
_version_ 1643653504241238016
score 13.160551

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