Study of predicting inflow temperature of the acrylic acid oxidation reactor accurately based on soft-sensing
(2016) 4th International Symposium on Project Management, ISPM 2016 p.811-818- Abstract
Inflow Temperature is an important factor affecting the safety of propylene oxidation process. A soft-sensing model is proposed to monitor inflow temperature of the acrylic acid oxidation reactor. PSO-SVM method is used in the soft-sensing model. Five auxiliary variables, namely the top pressure P1, the top temperature T1, the bottom pressure P2, the bottom temperature T2 and the bottom temperature of the molten salt T3 were selected to forecast another bottom temperature of the molten salt T4. The strong predictive performance of the model will have a significant effect on the process safety of propylene oxidation process.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2c83bffb-853d-444d-9e72-be4afdcc3e51
- author
- Deng, Yao ; Han, Xue Feng and Chen, Tao
- publishing date
- 2016
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Accident prevention, Prediction of inflow temperature, Process safety, PSO-SVM, Soft-sensing
- host publication
- Conference Proceedings of the 4th International Symposium on Project Management, ISPM 2016
- pages
- 8 pages
- publisher
- Aussino Academic Publishing House
- conference name
- 4th International Symposium on Project Management, ISPM 2016
- conference location
- Wuhan, China
- conference dates
- 2016-07-09 - 2016-07-10
- external identifiers
-
- scopus:84987958823
- ISBN
- 9781921712487
- language
- English
- LU publication?
- no
- id
- 2c83bffb-853d-444d-9e72-be4afdcc3e51
- date added to LUP
- 2017-02-15 13:38:18
- date last changed
- 2022-01-30 17:59:11
@inproceedings{2c83bffb-853d-444d-9e72-be4afdcc3e51, abstract = {{<p>Inflow Temperature is an important factor affecting the safety of propylene oxidation process. A soft-sensing model is proposed to monitor inflow temperature of the acrylic acid oxidation reactor. PSO-SVM method is used in the soft-sensing model. Five auxiliary variables, namely the top pressure P1, the top temperature T1, the bottom pressure P2, the bottom temperature T2 and the bottom temperature of the molten salt T3 were selected to forecast another bottom temperature of the molten salt T4. The strong predictive performance of the model will have a significant effect on the process safety of propylene oxidation process.</p>}}, author = {{Deng, Yao and Han, Xue Feng and Chen, Tao}}, booktitle = {{Conference Proceedings of the 4th International Symposium on Project Management, ISPM 2016}}, isbn = {{9781921712487}}, keywords = {{Accident prevention; Prediction of inflow temperature; Process safety; PSO-SVM; Soft-sensing}}, language = {{eng}}, pages = {{811--818}}, publisher = {{Aussino Academic Publishing House}}, title = {{Study of predicting inflow temperature of the acrylic acid oxidation reactor accurately based on soft-sensing}}, year = {{2016}}, }