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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
Bestätigte E-Mail-Adresse bei mail.neu.edu.cn
Titel
Zitiert von
Zitiert von
Jahr
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
1242014
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
1072020
Concurrent quality and process monitoring with canonical correlation analysis
Q Zhu, Q Liu, SJ Qin
Journal of process control 60, 95-103, 2017
1012017
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
932013
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
652015
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
56*2010
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
552018
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
542015
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
402017
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
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
302022
Concurrent canonical correlation analysis modeling for quality-relevant monitoring
Q Zhu, Q Liu, SJ Qin
IFAC-PapersOnLine 49 (7), 1044-1049, 2016
302016
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
292020
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
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
Fault diagnosis of dynamic processes with reconstruction and magnitude profile estimation for an industrial application
Q Liu, B Song, X Ding, SJ Qin
Control Engineering Practice 121, 105008, 2022
182022
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