Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC)

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Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC)

Processes exhibit complex behavior in chemical industries which makes the development of reliable theoretical models a very difficult and time consuming task. The resulting models are also often complex which poses additional problem for robust on-line process fault detection, diagnosis and control...

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Bibliographic Details
Main Authors:	Ibrahim, Kamarul 'Asri, Ahmad, Arshad, Ali, Mohamad Wijayanuddin, Mak, Weng Yee
Format:	Monograph
Language:	English
Published:	Faculty of Chemical and Natural Resources Engineering 2006
Subjects:	TP Chemical technology
Online Access:	http://eprints.utm.my/2795/ http://eprints.utm.my/2795/1/74215.pdf

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