| 1 |
Control loop performance monitoring based on weighted permutation entropy and control charts
Wu P, Guo LL, Duan YY, Zhou W, He GJ
Canadian Journal of Chemical Engineering, 97, 1488, 2019 |
| 2 |
Wind turbine generation performance monitoring with Jaya algorithm
Jin R, Wang L, Huang C, Jiang SC
International Journal of Energy Research, 43(4), 1604, 2019 |
| 3 |
Oscillation detection in process industries - Part I: Review of the detection methods
Dambros JWV, Trierweiler JO, Farenzena M
Journal of Process Control, 78, 108, 2019 |
| 4 |
Oscillation detection in process industries - Part II: Industrial application
Dambros JWV, Trierweiler JO, Farenzena M, Kempf A, Longhi LGS, Teixeira HCG
Journal of Process Control, 78, 139, 2019 |
| 5 |
Using high-frequency SCADA data for wind turbine performance monitoring: A sensitivity study
Gonzalez E, Stephen B, Infield D, Melero JJ
Renewable Energy, 131, 841, 2019 |
| 6 |
Low temperature sensitivity of implied voltages from luminescence measured on crystalline silicon solar cells
Zafirovska I, Juhl MK, Ciesla A, Evans R, Trupke T
Solar Energy Materials and Solar Cells, 199, 50, 2019 |
| 7 |
Performance monitoring of MIMO control system using Kullback-Leibler divergence
Wu P
Canadian Journal of Chemical Engineering, 96(7), 1559, 2018 |
| 8 |
Review and comparison of techniques of analysis of valve stiction: From modeling to smart diagnosis
di Capaci RB, Scali C
Chemical Engineering Research & Design, 130, 230, 2018 |
| 9 |
Framework for a smart data analytics platform towards process monitoring and alarm management
Hu WK, Shah SL, Chen TW
Computers & Chemical Engineering, 114, 225, 2018 |
| 10 |
Linking design and operation performance analysis through model calibration: Parametric assessment on a Passive House building
Tronchin L, Manfren M, James PAB
Energy, 165, 26, 2018 |
