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...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2021
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| 主題: | |
| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/104085/1/ALI%20HUSSEIN%20HUMOD%20AL%20JLIBAWI%20-%20IR.pdf |