02384nam a2200265 a 4500 vtls000075850 KUKTEM 20251114204540.0 131106t2013 my da f m 000 0 eng d THE0002030(Local) 201905131611 yusri 201311121657 nabilah 201311061129 nabilah UMP QA278.5 .L59 2013 rs Bc. Siti Nur Liyana Ahamd Implementing PCA-based fault detection system based on selected imported variables for continuous-based process / Siti Nur Liyana Ahamd Kuantan, Pahang : UMP, 2013 xiv, 50 p. : ill. ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2013 Bibliography : p. 42-44 Nowadays, the production based on chemical process was rapidly expanding either domestically or internationally. To produce the maximum amount of consistently high quality products as per requested and specified by the customers, the whole process must be considering included fault detection. This is to ensure that product quality is achieved and at the same time to ensure that the quality variables are operated under the normal operation. There were several methods that commonly used to detect the fault in process monitoring such as using SPC or MSPC. However because of the MSPC can operated with multivariable continuous processes with collinearities among process variables, this technique was used widely in industry. In MSPC have a few methods that were proposed to improve the fault detection such as PCA, PARAFAC, multidimensional scaling technique, partial least squares, KPCA, NLPCA, MPCA and others. Here, in this thesis was to proposed new technique which was by implementing PCA-based fault detection system based on selected imported variables for continuous-based process. This technique was selected depends on the highest number of magnitude of correlation of variables using Matlab Software. The result in this thesis was the fault can be detected using only selected important variables in the process. Principal component analysis Multivariate analysis Process control Statistical methods 0 0 0 1 10000 10000 2019-09-04 0 QA278.5 .L59 2013 rs Bc. 0000074795 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 7097 | QA278.5 .L59 2013 rs Bc. 0000074796 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 3946 3952 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*6502*9992