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Utilizing classical scaling for fault identification based on continuous-based process / Mira Syahirah Abd Wahit

By:

Mira Syahirah Abd Wahit

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2013Description: ix, 30 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN:

THE0004992(Local)

Subject(s):

Dissertation note: Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2013 Abstract: 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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Holdings ( 2 )
Title notes ( 3 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB GAMBANG	TS156.8 .M57 2013 r Bc. (Browse shelf(Opens below))	1	Not for loan		0000087071
Final Year Report	UMPLIB GAMBANG	CD 8320 \| TS156.8 .M57 2013 r Bc. (Browse shelf(Opens below))	1	Not for loan		0000087072

Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2013

Bibliography : p. 53

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.