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Qiang Liu
Qiang Liu
State Laboratory of Synthesis Automation of Process Industries Northeastern University, China; Department of Chemical Engineering University of Southern California Los Angeles, CA, USA
Verified email at mail.neu.edu.cn
Title
Cited by
Cited by
Year
Multiblock concurrent PLS for decentralized monitoring of continuous annealing processes
Q Liu, SJ Qin, T Chai
IEEE Transactions on Industrial Electronics 61 (11), 6429-6437, 2014
1232014
Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring
SJ Qin, Y Dong, Q Zhu, J Wang, Q Liu
Annual Reviews in Control 50, 29-48, 2020
1042020
Concurrent quality and process monitoring with canonical correlation analysis
Q Zhu, Q Liu, SJ Qin
Journal of process control 60, 95-103, 2017
1002017
Decentralized fault diagnosis of continuous annealing processes based on multilevel PCA
Q Liu, SJ Qin, T Chai
IEEE Transactions on Automation Science and Engineering 10 (3), 687-698, 2013
922013
Particle size estimate of grinding processes using random vector functional link networks with improved robustness
W Dai, Q Liu, T Chai
Neurocomputing 169, 361-372, 2015
632015
Dynamic concurrent kernel CCA for strip-thickness relevant fault diagnosis of continuous annealing processes
Q Liu, Q Zhu, SJ Qin, T Chai
Journal of process control 67, 12-22, 2018
542018
Comprehensive monitoring of nonlinear processes based on concurrent kernel projection to latent structures
N Sheng, Q Liu, SJ Qin, T Chai
IEEE Transactions on Automation Science and Engineering 13 (2), 1129-1137, 2015
532015
Progress of data-driven and knowledge-driven process monitoring and fault diagnosis for industry process
Q Liu, TY Chai, SJ Qin, LJ Zhao
Control and Decision 25 (6), 2010
53*2010
Unevenly sampled dynamic data modeling and monitoring with an industrial application
Q Liu, SJ Qin, T Chai
IEEE Transactions on Industrial Informatics 13 (5), 2203-2213, 2017
382017
过程工业大数据建模研究展望
刘强, 秦泗钊
自动化学报 42 (2), 161-171, 2016
352016
Fault diagnosis of continuous annealing processes using a reconstruction-based method
Q Liu, T Chai, SJ Qin
Control Engineering Practice 20 (5), 511-518, 2012
342012
Concurrent canonical correlation analysis modeling for quality-relevant monitoring
Q Zhu, Q Liu, SJ Qin
IFAC-PapersOnLine 49 (7), 1044-1049, 2016
302016
Perspectives on Big Data Modeling of Process Industries
Q Liu, SJ Qin
Acta Automatica Sinica 42 (2), 161-171, 2016
282016
Data-based hybrid tension estimation and fault diagnosis of cold rolling continuous annealing processes
Q Liu, T Chai, H Wang, SZJ Qin
IEEE transactions on neural networks 22 (12), 2284-2295, 2011
262011
C. elegans enteric motor neurons fire synchronized action potentials underlying the defecation motor program
J Jiang, Y Su, R Zhang, H Li, L Tao, Q Liu
Nature communications 13 (1), 2783, 2022
242022
A novel multimanifold joint projections model for multimode process monitoring
X Xu, J Ding, Q Liu, T Chai
IEEE Transactions on Industrial Informatics 17 (9), 5961-5970, 2020
242020
A mathematical model for mitigating centerline macro segregation in continuous casting slab
M Long, D Chen, L Zhang, Y Zhao, Q Liu
Metalurgia International 16 (10), 19, 2011
242011
Determination of CC slab solidification using nail shooting technique
MJ Long, DF Chen, QX Wang, DH Luo, ZW Han, Q Liu, WX Gao
Ironmaking & Steelmaking 39 (5), 370-377, 2012
232012
A prediction model for internal cracks during slab continuous casting
Y Kong, D Chen, Q Liu, M Long
Metals 9 (5), 587, 2019
222019
Quality-relevant monitoring and diagnosis with dynamic concurrent projection to latent structures
Q Liu, SJ Qin, T Chai
IFAC Proceedings Volumes 47 (3), 2740-2745, 2014
182014
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