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 | 125 | 2014 |
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 | 112 | 2020 |
Concurrent quality and process monitoring with canonical correlation analysis Q Zhu, Q Liu, SJ Qin Journal of Process Control 60, 95-103, 2017 | 104 | 2017 |
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 | 95 | 2013 |
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 | 67 | 2015 |
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 | 60 | 2018 |
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 | 59* | 2010 |
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 | 54 | 2015 |
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 | 43 | 2017 |
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 | 34 | 2012 |
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 | 33 | 2016 |
Concurrent canonical correlation analysis modeling for quality-relevant monitoring Q Zhu, Q Liu, SJ Qin IFAC-PapersOnLine 49 (7), 1044-1049, 2016 | 32 | 2016 |
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 | 31 | 2022 |
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 | 31 | 2020 |
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 | 27 | 2011 |
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 | 24 | 2012 |
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 | 24 | 2011 |
A prediction model for internal cracks during slab continuous casting Y Kong, D Chen, Q Liu, M Long Metals 9 (5), 587, 2019 | 22 | 2019 |
Perspectives on Big Data Modeling of Process Industries Q Liu, SJ Qin Acta Automatica Sinica 42 (2), 161-171, 2016 | 22 | 2016 |
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 | 19 | 2022 |