| 1 |
Parametric optimization and control for a smart Proton Exchange Membrane Water Electrolysis (PEMWE) system
Ogumerem GS, Pistikopoulos EN
Journal of Process Control, 91, 37, 2020 |
| 2 |
Deep learning for pyrolysis reactor monitoring: From thermal imaging toward smart monitoring system
Zhu W, Ma Y, Benton MG, Romagnoli JA, Zhan Y
AIChE Journal, 65(2), 582, 2019 |
| 3 |
Feature space monitoring for smart manufacturing via statistics pattern analysis
He QP, Wang J, Shah D
Computers & Chemical Engineering, 126, 321, 2019 |
| 4 |
Smart manufacturing and energy systems
Edgar TF, Pistikopoulos EN
Computers & Chemical Engineering, 114, 130, 2018 |
| 5 |
Statistical process monitoring as a big data analytics tool for smart manufacturing
He QP, Wang J
Journal of Process Control, 67, 35, 2018 |
| 6 |
Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives
Kamble SS, Gunasekaran A, Gawankar SA
Process Safety and Environmental Protection, 117, 408, 2018 |
| 7 |
A physics-based model for industrial steam-methane reformer optimization with non-uniform temperature field
Kumar A, Baldea M, Edgar TF
Computers & Chemical Engineering, 105, 224, 2017 |
| 8 |
Multi-resolution model of an industrial hydrogen plant for plantwide operational optimization with non-uniform steam-methane reformer temperature field
Kumar A, Edgar TF, Baldea M
Computers & Chemical Engineering, 107, 271, 2017 |
| 9 |
On Optimal Sensing and Actuation Design for an Industrial Scale Steam Methane Reformer Furnace
Kumar A, Baldea M, Edgar TF
AIChE Journal, 62(9), 3225, 2016 |
| 10 |
A Smart Manufacturing Methodology for Real Time Chemical Process Diagnosis Using Causal Link Assessment
Rathinasabapathy R, Elsass MJ, Josephson JR, Davis JF
AIChE Journal, 62(9), 3420, 2016 |
