Παρακολούθηση
Chao SHANG / 尚超
Chao SHANG / 尚超
Associate Professor of Automation, Tsinghua University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα tsinghua.edu.cn
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Data-driven soft sensor development based on deep learning technique
C Shang, F Yang, D Huang, W Lyu
Journal of Process Control 24 (3), 223-233, 2014
5932014
Data analytics and machine learning for smart process manufacturing: Recent advances and perspectives in the big data era
C Shang, F You
Engineering 5 (6), 1010-1016, 2019
3192019
Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis
C Shang, F Yang, X Gao, X Huang, JAK Suykens, D Huang
AIChE Journal, 2015
2642015
Data-driven robust optimization based on kernel learning
C Shang, X Huang, F You
Computers & Chemical Engineering 106, 464-479, 2017
2262017
Slow feature analysis for monitoring and diagnosis of control performance
C Shang, B Huang, F Yang, D Huang
Journal of Process Control 39, 21-34, 2016
1802016
Distributionally robust optimization for planning and scheduling under uncertainty
C Shang, F You
Computers & Chemical Engineering 110, 53-68, 2018
1712018
Probabilistic slow feature analysis‐based representation learning from massive process data for soft sensor modeling
C Shang, B Huang, F Yang, D Huang
AIChE Journal 61 (12), 4126-4139, 2015
1472015
A data-driven robust optimization approach to scenario-based stochastic model predictive control
C Shang, F You
Journal of Process Control 75, 24-39, 2019
1372019
Recursive slow feature analysis for adaptive monitoring of industrial processes
C Shang, F Yang, B Huang, D Huang
IEEE Transactions on Industrial Electronics 65 (11), 8895-8905, 2018
1312018
Dynamic soft sensor development based on convolutional neural networks
K Wang, C Shang, L Liu, Y Jiang, D Huang, F Yang
Industrial & Engineering Chemistry Research 58 (26), 11521-11531, 2019
1062019
Robust model predictive control of irrigation systems with active uncertainty learning and data analytics
C Shang, WH Chen, AD Stroock, F You
IEEE Transactions on Control Systems Technology 28 (4), 1493-1504, 2019
1042019
Fault detection for nonlinear dynamic systems with consideration of modeling errors: A data-driven approach
H Chen, L Li, C Shang, B Huang
IEEE Transactions on Cybernetics 53 (7), 4259-4269, 2022
842022
Novel Bayesian framework for dynamic soft sensor based on support vector machine with finite impulse response
C Shang, X Gao, F Yang, D Huang
IEEE Transactions on Control Systems Technology 22 (4), 1550-1557, 2014
782014
Monitoring of operating point and process dynamics via probabilistic slow feature analysis
F Guo, C Shang, B Huang, K Wang, F Yang, D Huang
Chemometrics and Intelligent Laboratory Systems 151, 115-125, 2016
772016
Enhancing dynamic soft sensors based on DPLS: A temporal smoothness regularization approach
C Shang, X Huang, JAK Suykens, D Huang
Journal of Process Control 28, 17-26, 2015
752015
Modelling of a post-combustion CO2 capture process using deep belief network
F Li, J Zhang, C Shang, D Huang, E Oko, M Wang
Applied Thermal Engineering 130, 997-1003, 2018
702018
A review of control loop monitoring and diagnosis: Prospects of controller maintenance in big data era
X Gao, F Yang, C Shang, D Huang
Chinese Journal of Chemical Engineering 24 (8), 952-962, 2016
602016
Distributionally robust fault detection design and assessment for dynamical systems
C Shang, SX Ding, H Ye
Automatica 125, 109434, 2021
522021
Generalized grouped contributions for hierarchical fault diagnosis with group Lasso
C Shang, H Ji, X Huang, F Yang, D Huang
Control Engineering Practice 93, 104193, 2019
382019
Extracting latent dynamics from process data for quality prediction and performance assessment via slow feature regression
C Shang, F Yang, X Gao, D Huang
2015 American Control Conference (ACC), 912-917, 2015
372015
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