01982ntm a2200253 a 4500 vtls000083412 KUKTEM 20251117113235.0 141113t2013 my a f m 000 0 eng d THE0004992(Local) 201905140855 SHAHRILJ 201411241002 Fida 201411131456 ariffin 201411131455 ariffin 201411131344 ariffin UMP TS156.8 .M57 2013 r Bc. Mira Syahirah Abd Wahit Utilizing classical scaling for fault identification based on continuous-based process / Mira Syahirah Abd Wahit Kuantan, Pahang : UMP, 2013 ix, 30 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM 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. Process control Statistical methods Quality control Statistical methods 0 0 0 1 10000 10000 2019-09-04 0 TS156.8 .M57 2013 r Bc. 0000087071 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 8320 | TS156.8 .M57 2013 r Bc. 0000087072 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 5283 5289 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992