Yuan Yao
Yuan Yao
Professor, Department of Chemical Engineering, National Tsing Hua University
Verified email at
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A survey on multistage/multiphase statistical modeling methods for batch processes
Y Yao, F Gao
Annual Reviews in Control 33 (2), 172-183, 2009
Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes
Y Liu, C Yang, Z Gao, Y Yao
Chemometrics and Intelligent Laboratory Systems 174, 15-21, 2018
Phase and transition based batch process modeling and online monitoring
Y Yao, F Gao
Journal of Process Control 19 (5), 816-826, 2009
Two‐dimensional dynamic PCA for batch process monitoring
N Lu, Y Yao, F Gao, F Wang
AIChE Journal 51 (12), 3300-3304, 2005
Statistical analysis and online monitoring for multimode processes with between-mode transitions
C Zhao, Y Yao, F Gao, F Wang
Chemical Engineering Science 65 (22), 5961-5975, 2010
Sparse principal component thermography for subsurface defect detection in composite products
JY Wu, S Sfarra, Y Yao
IEEE transactions on industrial informatics 14 (12), 5594-5600, 2018
Domain adaptation transfer learning soft sensor for product quality prediction
Y Liu, C Yang, K Liu, B Chen, Y Yao
Chemometrics and Intelligent Laboratory Systems 192, 103813, 2019
Generative principal component thermography for enhanced defect detection and analysis
K Liu, Y Li, J Yang, Y Liu, Y Yao
IEEE Transactions on Instrumentation and Measurement 69 (10), 8261-8269, 2020
Improved non-destructive testing of carbon fiber reinforced polymer (CFRP) composites using pulsed thermograph
K Zheng, YS Chang, KH Wang, Y Yao
Polymer Testing 46, 26-32, 2015
Variable selection method for fault isolation using least absolute shrinkage and selection operator (LASSO)
Z Yan, Y Yao
Chemometrics and Intelligent Laboratory Systems 146, 136-146, 2015
Utilizing transition information in online quality prediction of multiphase batch processes
Z Ge, L Zhao, Y Yao, Z Song, F Gao
Journal of Process Control, 2012
Statistical analysis and online monitoring for handling multiphase batch processes with varying durations
C Zhao, S Mo, F Gao, N Lu, Y Yao
Journal of Process Control 21 (6), 817-829, 2011
Defect detection in CFRP structures using pulsed thermographic data enhanced by penalized least squares methods
K Zheng, YS Chang, Y Yao
Composites Part B: Engineering 79, 351-358, 2015
Spatial-neighborhood manifold learning for nondestructive testing of defects in polymer composites
Y Liu, K Liu, J Yang, Y Yao
IEEE Transactions on Industrial Informatics 16 (7), 4639-4649, 2019
Multilinear model decomposition of MIMO nonlinear systems and its implication for multilinear model-based control
J Du, C Song, Y Yao, P Li
Journal of Process Control 23 (3), 271-281, 2013
Multivariate statistical monitoring of two-dimensional dynamic batch processes utilizing non-Gaussian information
Y Yao, T Chen, F Gao
Journal of Process Control 20 (10), 1188-1197, 2010
Phase-based statistical modeling, online monitoring and quality prediction for batch processes
C Zhao, F Wang, Y Yao, F Gao
Acta Automatica Sinica 36, 366-374, 2010
Independent component thermography for non-destructive testing of defects in polymer composites
Y Liu, JY Wu, K Liu, HL Wen, Y Yao, S Sfarra, C Zhao
Measurement Science and Technology 30 (4), 044006, 2019
Systematic procedure for Granger-causality-based root cause diagnosis of chemical process faults
HS Chen, Z Yan, Y Yao, TB Huang, YS Wong
Industrial & Engineering Chemistry Research 57 (29), 9500-9512, 2018
Active thermography testing and data analysis for the state of conservation of panel paintings
Y Yao, S Sfarra, S Lagüela, C Ibarra-Castanedo, JY Wu, XPV Maldague, ...
International Journal of Thermal Sciences 126, 143-151, 2018
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