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Study of predicting inflow temperature of the acrylic acid oxidation reactor accurately based on soft-sensing

Deng, Yao; Han, Xue Feng and Chen, Tao (2016) 4th International Symposium on Project Management, ISPM 2016 In Conference Proceedings of the 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.

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author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Accident prevention, Prediction of inflow temperature, Process safety, PSO-SVM, Soft-sensing
in
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
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
2017-08-21 12:36:45
@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},
  keyword      = {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},
}