AN IMPROVED DIAGNOSTIC TOOL FOR CONTROL VALVE STICTION BASED ON NONLINEAR PRINCIPLE COMPONENT ANALYSIS AND AUTOCOVARIANCE
Control valves suffer from wear and aging when opening and closing the valves which causes stiction nonlinearity. The existing stiction detection techniques are only applicable to loops from a certain type of processes or a certain amount of dataset. The nonlinear principle component analysis (NLPCA...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/20267/1/Teh_Weng_Kean_16001865.pdf http://utpedia.utp.edu.my/20267/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Petronas |
Language: | English |
id |
my-utp-utpedia.20267 |
---|---|
record_format |
eprints |
spelling |
my-utp-utpedia.202672020-03-11T14:50:17Z http://utpedia.utp.edu.my/20267/ AN IMPROVED DIAGNOSTIC TOOL FOR CONTROL VALVE STICTION BASED ON NONLINEAR PRINCIPLE COMPONENT ANALYSIS AND AUTOCOVARIANCE TEH , WENG KEAN TP Chemical technology Control valves suffer from wear and aging when opening and closing the valves which causes stiction nonlinearity. The existing stiction detection techniques are only applicable to loops from a certain type of processes or a certain amount of dataset. The nonlinear principle component analysis (NLPCA) method requires many ensemble runs per data, a large quantity of raw data and shows uncertain results when applied to loops from integrating processes. 2019-04 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20267/1/Teh_Weng_Kean_16001865.pdf TEH , WENG KEAN (2019) AN IMPROVED DIAGNOSTIC TOOL FOR CONTROL VALVE STICTION BASED ON NONLINEAR PRINCIPLE COMPONENT ANALYSIS AND AUTOCOVARIANCE. Masters thesis, Universiti Teknologi PETRONAS. |
institution |
Universiti Teknologi Petronas |
building |
UTP Resource Centre |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Petronas |
content_source |
UTP Electronic and Digitized Intellectual Asset |
url_provider |
http://utpedia.utp.edu.my/ |
language |
English |
topic |
TP Chemical technology |
spellingShingle |
TP Chemical technology TEH , WENG KEAN AN IMPROVED DIAGNOSTIC TOOL FOR CONTROL VALVE STICTION BASED ON NONLINEAR PRINCIPLE COMPONENT ANALYSIS AND AUTOCOVARIANCE |
description |
Control valves suffer from wear and aging when opening and closing the valves which causes stiction nonlinearity. The existing stiction detection techniques are only applicable to loops from a certain type of processes or a certain amount of dataset. The nonlinear principle component analysis (NLPCA) method requires many ensemble runs per data, a large quantity of raw data and shows uncertain results when applied to loops from integrating processes. |
format |
Thesis |
author |
TEH , WENG KEAN |
author_facet |
TEH , WENG KEAN |
author_sort |
TEH , WENG KEAN |
title |
AN IMPROVED DIAGNOSTIC TOOL FOR CONTROL VALVE STICTION BASED ON NONLINEAR PRINCIPLE COMPONENT ANALYSIS AND AUTOCOVARIANCE |
title_short |
AN IMPROVED DIAGNOSTIC TOOL FOR CONTROL VALVE STICTION BASED ON NONLINEAR PRINCIPLE COMPONENT ANALYSIS AND AUTOCOVARIANCE |
title_full |
AN IMPROVED DIAGNOSTIC TOOL FOR CONTROL VALVE STICTION BASED ON NONLINEAR PRINCIPLE COMPONENT ANALYSIS AND AUTOCOVARIANCE |
title_fullStr |
AN IMPROVED DIAGNOSTIC TOOL FOR CONTROL VALVE STICTION BASED ON NONLINEAR PRINCIPLE COMPONENT ANALYSIS AND AUTOCOVARIANCE |
title_full_unstemmed |
AN IMPROVED DIAGNOSTIC TOOL FOR CONTROL VALVE STICTION BASED ON NONLINEAR PRINCIPLE COMPONENT ANALYSIS AND AUTOCOVARIANCE |
title_sort |
improved diagnostic tool for control valve stiction based on nonlinear principle component analysis and autocovariance |
publishDate |
2019 |
url |
http://utpedia.utp.edu.my/20267/1/Teh_Weng_Kean_16001865.pdf http://utpedia.utp.edu.my/20267/ |
_version_ |
1739832733558898688 |