Soft sensor modelling for optimization of distribution control system in oil refineries by applying hybrid data mining techniques
A data-driven soft sensor is a sensor that uses data from available online sensors (such as temperature, pressure, and flow rate) to forecast quality attributes that cannot be monitored naturally or can only be measured at a high cost, infrequently, or with long delays. Oil refineries use control sy...
| Main Author: | Al Jlibawi, Ali Hussein Humod |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2021
|
| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/104085/ http://psasir.upm.edu.my/id/eprint/104085/1/ALI%20HUSSEIN%20HUMOD%20AL%20JLIBAWI%20-%20IR.pdf |
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