| 1 |
Precipitation of VEGF from mesenchymal stem cell culture supernatant using the PCA process
Park HJ, Yoon TJ, Son WS, Lee CJ, Kim SN, Song SU, Lee YW
Journal of Supercritical Fluids, 151, 40, 2019 |
| 2 |
Fault diagnosis of time-varying processes using modified reconstruction-based contributions
Elshenawy LM, Mahmoud TA
Journal of Process Control, 70, 12, 2018 |
| 3 |
Integration of NIRS and PCA techniques for the process monitoring of a sewage sludge anaerobic digester
Reed JP, Devlin D, Esteves SRR, Dinsdale R, Guwy AJ
Bioresource Technology, 133, 398, 2013 |
| 4 |
Dynamic model-based fault diagnosis for (bio)chemical batch processes
Van den Kerkhof P, Gins G, Vanlaer J, Van Impe JFM
Computers & Chemical Engineering, 40, 12, 2012 |
| 5 |
Phase and transition based batch process modeling and online monitoring
Yao Y, Gao FR
Journal of Process Control, 19(5), 816, 2009 |
| 6 |
Calibration, prediction and process monitoring model based on factor analysis for incomplete process data
Kim DS, Yoo CK, Kim YI, Jung JH, Lee IB
Journal of Chemical Engineering of Japan, 38(12), 1025, 2005 |
| 7 |
Statistical monitoring of dynamic processes based on dynamic independent component analysis
Lee JM, Yoo C, Lee IB
Chemical Engineering Science, 59(14), 2995, 2004 |
| 8 |
On-line batch process monitoring using different unfolding method and independent component analysis
Lee JM, Yoo C, Lee IB
Journal of Chemical Engineering of Japan, 36(11), 1384, 2003 |
| 9 |
Multivariate statistical monitoring of a high-pressure polymerization process
Kumar V, Sundararaj U, Shah SL, Hair D, Vande Griend LJ
Polymer Reaction Engineering, 11(4), 1017, 2003 |
| 10 |
Materials processing with supercritical antisolvent precipitation: process parameters and morphology of tartaric acid
Krober H, Teipel U
Journal of Supercritical Fluids, 22(3), 229, 2002 |
