Year |
Citation |
Score |
2013 |
Yu H, Flores-Cerrillo J. Latent Variable Model Predictive Control for Trajectory Tracking in Batch Processes: Internal Model Control Interpretation and Design Methodology Industrial & Engineering Chemistry Research. 52: 12437-12450. DOI: 10.1021/Ie400060J |
0.592 |
|
2013 |
Chen J, Yu J, Mori J, Rashid MM, Hu G, Yu H, Flores-Cerrillo J, Megan L. A non-Gaussian pattern matching based dynamic process monitoring approach and its application to cryogenic air separation process Computers & Chemical Engineering. 58: 40-53. DOI: 10.1016/J.Compchemeng.2013.05.019 |
0.589 |
|
2007 |
Liu Z, Yu H, MacGregor JF. Standardization of line-scan NIR imaging systems Journal of Chemometrics. 21: 88-95. DOI: 10.1002/Cem.1038 |
0.313 |
|
2005 |
MacGregor JF, Yu H, Muñoz SG, Flores-Cerrillo J. Data-based latent variable methods for process analysis, monitoring and control Computers & Chemical Engineering. 29: 1217-1223. DOI: 10.1016/J.Compchemeng.2005.02.007 |
0.611 |
|
2004 |
Yu H, MacGregor JF. Digital Imaging for Process Monitoring and Control with Industrial Applications Ifac Proceedings Volumes. 37: 39-46. DOI: 10.1016/S1474-6670(17)38707-4 |
0.444 |
|
2004 |
Yu H, MacGregor JF. Multivariate Image Analysis for Inferential Sensing: A Framework Ifac Proceedings Volumes. 37: 983-988. DOI: 10.1016/S1474-6670(17)31936-5 |
0.36 |
|
2004 |
Yu H, MacGregor JF. Post processing methods (PLS-CCA): Simple alternatives to preprocessing methods (OSC-PLS) Chemometrics and Intelligent Laboratory Systems. 73: 199-205. DOI: 10.1016/J.Chemolab.2004.04.006 |
0.424 |
|
2004 |
Yu H, MacGregor JF. Monitoring flames in an industrial boiler using multivariate image analysis Aiche Journal. 50: 1474-1483. DOI: 10.1002/Aic.10164 |
0.336 |
|
2003 |
Yu H, Macgregor JF, Haarsma G, Bourg W. Digital Imaging for Online Monitoring and Control of Industrial Snack Food Processes Industrial & Engineering Chemistry Research. 42: 3036-3044. DOI: 10.1021/Ie020941F |
0.381 |
|
2003 |
Yu H, MacGregor JF. Multivariate image analysis and regression for prediction of coating content and distribution in the production of snack foods Chemometrics and Intelligent Laboratory Systems. 67: 125-144. DOI: 10.1016/S0169-7439(03)00065-0 |
0.343 |
|
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