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

• 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/id/eprint/2795/1/74215.pdf; http://eprints.utm.my/id/eprint/2795/

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...