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...

Full description

Main Author: TEH , WENG KEAN
Format: Thesis
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.20267 /
Published: 2019
Subjects:
TP Chemical technology
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!
id utp-utpedia.20267
recordtype eprints
spelling 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
collection UTPedia
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_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_ 1741195598205288448
score 11.62408

Similar Items