Utilizing classical scaling for fault identification based on continuous-based process

This study is about to develop a new method on Fault Identification using Classical Scaling. Process Monitoring is from Statistical Process Control (SPC), the statistical tool which used of statistical methods and to control of a process, by repeated sampling measurements or to predict results. It a...

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Main Author: Mira Syahirah, Abd Wahit
Format: Undergraduates Project Papers
Language:English
Published: 2013
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/10480/1/MIRA%20SYAHIRAH%20BT%20ABD%20WAHIT.pdf
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author Mira Syahirah, Abd Wahit
author_facet Mira Syahirah, Abd Wahit
author_sort Mira Syahirah, Abd Wahit
collection UMP
description This study is about to develop a new method on Fault Identification using Classical Scaling. Process Monitoring is from Statistical Process Control (SPC), the statistical tool which used of statistical methods and to control of a process, by repeated sampling measurements or to predict results. It also help to determine whether the process is working properly or not. This Statistical Process Control (SPC) will forms charts with data (control charts) to shown the result. This study will develop the normal Multivariate Statistical Process Monitoring (MSPM). The data will be run as the normal Multivariate Statistical Process Monitoring (MSPM). So from the technique that used in this study such as Principal Component Analysis, Statistical Process Control and Multivariate Statistical Process Monitoring (MSPM), this study will be develop which the most faster technique that will be detecting the fault in the system used.
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spelling UMPir104802021-07-08T03:43:45Z http://umpir.ump.edu.my/id/eprint/10480/ Utilizing classical scaling for fault identification based on continuous-based process Mira Syahirah, Abd Wahit TS Manufactures This study is about to develop a new method on Fault Identification using Classical Scaling. Process Monitoring is from Statistical Process Control (SPC), the statistical tool which used of statistical methods and to control of a process, by repeated sampling measurements or to predict results. It also help to determine whether the process is working properly or not. This Statistical Process Control (SPC) will forms charts with data (control charts) to shown the result. This study will develop the normal Multivariate Statistical Process Monitoring (MSPM). The data will be run as the normal Multivariate Statistical Process Monitoring (MSPM). So from the technique that used in this study such as Principal Component Analysis, Statistical Process Control and Multivariate Statistical Process Monitoring (MSPM), this study will be develop which the most faster technique that will be detecting the fault in the system used. 2013-01 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10480/1/MIRA%20SYAHIRAH%20BT%20ABD%20WAHIT.pdf Mira Syahirah, Abd Wahit (2013) Utilizing classical scaling for fault identification based on continuous-based process. Chemical & Natural Resources Engineering, Universiti Malaysia Pahang.
spellingShingle TS Manufactures
Mira Syahirah, Abd Wahit
Utilizing classical scaling for fault identification based on continuous-based process
title Utilizing classical scaling for fault identification based on continuous-based process
title_full Utilizing classical scaling for fault identification based on continuous-based process
title_fullStr Utilizing classical scaling for fault identification based on continuous-based process
title_full_unstemmed Utilizing classical scaling for fault identification based on continuous-based process
title_short Utilizing classical scaling for fault identification based on continuous-based process
title_sort utilizing classical scaling for fault identification based on continuous based process
topic TS Manufactures
url http://umpir.ump.edu.my/id/eprint/10480/1/MIRA%20SYAHIRAH%20BT%20ABD%20WAHIT.pdf
work_keys_str_mv AT mirasyahirahabdwahit utilizingclassicalscalingforfaultidentificationbasedoncontinuousbasedprocess