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Application of Process Monitoring Based on Inferential Measurement Approach

In this study, a new multivariate method to monitor continuous processes is developed based on the Process Control Analysis (PCA) framework. The objective of the study is to develop A new MSPM method and analyze the monitoring performance of system A and B. In industrial practice, monitoring process...

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Main Author: Zaidi, Salim
Format: Undergraduates Project Papers
Language:English
Published: 2013
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/7186/1/09.Application%20of%20process%20monitoring%20based%20on%20inferential%20measurement%20approach.pdf
http://umpir.ump.edu.my/id/eprint/7186/
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spelling my.ump.umpir.71862023-04-14T00:13:04Z http://umpir.ump.edu.my/id/eprint/7186/ Application of Process Monitoring Based on Inferential Measurement Approach Zaidi, Salim TS Manufactures In this study, a new multivariate method to monitor continuous processes is developed based on the Process Control Analysis (PCA) framework. The objective of the study is to develop A new MSPM method and analyze the monitoring performance of system A and B. In industrial practice, monitoring process are usually performed based on an approximate model. As the number of variables increases, the fault detection performance tends to be slow in progression, as well as, introduce greater complexity in the later stages especially in fault identification and diagnosing. These research implements and analyzes Multiple Linear Regression (MLR) method to a continuous process which simplify the number of variables used. This research also based on the conventional MSPM technique. After that, the developed method was analyzed and finally, all the performance result of the developed method was compared with the conventional method. The monitoring results clearly demonstrate the superiority of the proposed method. The MLR methods show that the fault detection performance improved and better than the conventional method. 2013-02 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/7186/1/09.Application%20of%20process%20monitoring%20based%20on%20inferential%20measurement%20approach.pdf Zaidi, Salim (2013) Application of Process Monitoring Based on Inferential Measurement Approach. Faculty of Chemical and Natural Resources Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TS Manufactures
spellingShingle TS Manufactures
Zaidi, Salim
Application of Process Monitoring Based on Inferential Measurement Approach
description In this study, a new multivariate method to monitor continuous processes is developed based on the Process Control Analysis (PCA) framework. The objective of the study is to develop A new MSPM method and analyze the monitoring performance of system A and B. In industrial practice, monitoring process are usually performed based on an approximate model. As the number of variables increases, the fault detection performance tends to be slow in progression, as well as, introduce greater complexity in the later stages especially in fault identification and diagnosing. These research implements and analyzes Multiple Linear Regression (MLR) method to a continuous process which simplify the number of variables used. This research also based on the conventional MSPM technique. After that, the developed method was analyzed and finally, all the performance result of the developed method was compared with the conventional method. The monitoring results clearly demonstrate the superiority of the proposed method. The MLR methods show that the fault detection performance improved and better than the conventional method.
format Undergraduates Project Papers
author Zaidi, Salim
author_facet Zaidi, Salim
author_sort Zaidi, Salim
title Application of Process Monitoring Based on Inferential Measurement Approach
title_short Application of Process Monitoring Based on Inferential Measurement Approach
title_full Application of Process Monitoring Based on Inferential Measurement Approach
title_fullStr Application of Process Monitoring Based on Inferential Measurement Approach
title_full_unstemmed Application of Process Monitoring Based on Inferential Measurement Approach
title_sort application of process monitoring based on inferential measurement approach
publishDate 2013
url http://umpir.ump.edu.my/id/eprint/7186/1/09.Application%20of%20process%20monitoring%20based%20on%20inferential%20measurement%20approach.pdf
http://umpir.ump.edu.my/id/eprint/7186/
_version_ 1764222765027557376
score 13.211869

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