| 1 |
Mixture robust L1 probabilistic principal component regression and soft sensor application
Zhu PB, Yang XQ, Zhang H
Canadian Journal of Chemical Engineering, 98(8), 1741, 2020 |
| 2 |
An efficient polynomial chaos expansion strategy for active fault identification of chemical processes
Schenkendorf R, Xie XZ, Krewer U
Computers & Chemical Engineering, 122, 228, 2019 |
| 3 |
Evaluation of the performance of different types of roll compactors
Csordas K, Kleinebudde P
Powder Technology, 337, 84, 2018 |
| 4 |
Robust modeling of mixture probabilistic principal component analysis and process monitoring application
Zhu JL, Ge ZQ, Song ZH
AIChE Journal, 60(6), 2143, 2014 |
| 5 |
Robust monitoring and fault reconstruction based on variational inference component analysis
Ge ZQ, Song ZH
Journal of Process Control, 21(4), 462, 2011 |
| 6 |
Statistical medium formulation and process modeling by mixture design of experiment for peptide overexpression in recombinant Escherichia coli
Lee KM, Rhee CH, Kang CK, Kim JH
Applied Biochemistry and Biotechnology, 135(1), 81, 2006 |
| 7 |
Formulation and process modeling of biopolymer (polyhydroxyalkanoates : PHAs) production from industrial wastes by novel crossed experimental design
Lee KM, Gilmore DF
Process Biochemistry, 40(1), 229, 2005 |
