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...
| Main Authors: | , , , |
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| Format: | Monograph |
| Language: | English |
| Published: |
Faculty of Chemical and Natural Resources Engineering
2006
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| Subjects: | |
| Online Access: | http://eprints.utm.my/2795/1/74215.pdf |