| 1 |
A subspace ensemble regression model based slow feature for soft sensing application
Jia Q, Cai J, Jiang XY, Li SJ
Chinese Journal of Chemical Engineering, 28(12), 3061, 2020 |
| 2 |
The use of first principles model for evaluation of adaptive soft sensor for multicomponent distillation unit
Torgashov A, Skogestad S
Chemical Engineering Research & Design, 151, 70, 2019 |
| 3 |
Gray-Box Modeling for the Optimization of Chemical Processes
Asprion N, Bottcher R, Pack R, Stavrou ME, Holler J, Schwientek J, Bortz M
Chemie Ingenieur Technik, 91(3), 305, 2019 |
| 4 |
Innovative data regression incorporating deterministic knowledge for soft sensing in the process industry
Copertaro E, Chiariotti P, Revel GM, Paone N
Journal of Process Control, 80, 180, 2019 |
| 5 |
Improved particle filter based soft sensing of room cooling load
Li ZP, Liu TZ
Energy and Buildings, 142, 56, 2017 |
| 6 |
Yield Control of a Pilot Scale Vacuum Gas Oil Hydrocracker Using a Soft-Sensing Approach
Sadighi S
Journal of Chemical Engineering of Japan, 49(12), 979, 2016 |
| 7 |
Local Partial Least Squares Based Online Soft Sensing Method for Multi-output Processes with Adaptive Process States Division
Shao WM, Tian XM, Wang P
Chinese Journal of Chemical Engineering, 22(7), 828, 2014 |
| 8 |
Soft-sensing Design Based on Semiclosed-loop Framework
Tang QF, Li DW, Xi YG, Yin DB
Chinese Journal of Chemical Engineering, 20(6), 1213, 2012 |
| 9 |
Review of adaptation mechanisms for data-driven soft sensors
Kadlec P, Grbic R, Gabrys B
Computers & Chemical Engineering, 35(1), 1, 2011 |
| 10 |
Moving average PLS soft sensor for online product quality estimation in an industrial batch polymerization process
Facco P, Doplicher F, Bezzo F, Barolo M
Journal of Process Control, 19(3), 520, 2009 |
