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Xiaofeng Yuan
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Year
Deep learning-based feature representation and its application for soft sensor modeling with variable-wise weighted SAE
X Yuan, B Huang, Y Wang, C Yang, W Gui
IEEE Transactions on Industrial Informatics 14 (7), 3235-3243, 2018
5162018
Nonlinear dynamic soft sensor modeling with supervised long short-term memory network
X Yuan, L Li, Y Wang
IEEE transactions on industrial informatics 16 (5), 3168-3176, 2019
4352019
A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network
Y Wang, Z Pan, X Yuan, C Yang, W Gui
ISA transactions 96, 457-467, 2020
3432020
Deep learning with spatiotemporal attention-based LSTM for industrial soft sensor model development
X Yuan, L Li, YAW Shardt, Y Wang, C Yang
IEEE Transactions on Industrial Electronics 68 (5), 4404-4414, 2020
3142020
Hierarchical quality-relevant feature representation for soft sensor modeling: A novel deep learning strategy
X Yuan, J Zhou, B Huang, Y Wang, C Yang, W Gui
IEEE transactions on industrial informatics 16 (6), 3721-3730, 2019
2122019
Locally weighted kernel principal component regression model for soft sensing of nonlinear time-variant processes
X Yuan, Z Ge, Z Song
Industrial & Engineering Chemistry Research 53 (35), 13736-13749, 2014
1572014
Weighted linear dynamic system for feature representation and soft sensor application in nonlinear dynamic industrial processes
X Yuan, Y Wang, C Yang, Z Ge, Z Song, W Gui
IEEE Transactions on Industrial Electronics 65 (2), 1508-1517, 2017
1562017
Semisupervised JITL framework for nonlinear industrial soft sensing based on locally semisupervised weighted PCR
X Yuan, Z Ge, B Huang, Z Song, Y Wang
IEEE Transactions on Industrial Informatics 13 (2), 532-541, 2016
1562016
A layer-wise data augmentation strategy for deep learning networks and its soft sensor application in an industrial hydrocracking process
X Yuan, C Ou, Y Wang, C Yang, W Gui
IEEE transactions on neural networks and learning systems 32 (8), 3296-3305, 2019
1302019
A probabilistic just-in-time learning framework for soft sensor development with missing data
X Yuan, Z Ge, B Huang, Z Song
IEEE Transactions on Control Systems Technology 25 (3), 1124-1132, 2016
1182016
Soft sensor model development in multiphase/multimode processes based on Gaussian mixture regression
X Yuan, Z Ge, Z Song
Chemometrics and Intelligent Laboratory Systems 138, 97-109, 2014
1162014
Deep quality-related feature extraction for soft sensing modeling: A deep learning approach with hybrid VW-SAE
X Yuan, C Ou, Y Wang, C Yang, W Gui
Neurocomputing 396, 375-382, 2020
1072020
A dynamic CNN for nonlinear dynamic feature learning in soft sensor modeling of industrial process data
X Yuan, S Qi, Y Wang, H Xia
Control Engineering Practice 104, 104614, 2020
1062020
A deep supervised learning framework for data-driven soft sensor modeling of industrial processes
X Yuan, Y Gu, Y Wang, C Yang, W Gui
IEEE transactions on neural networks and learning systems 31 (11), 4737-4746, 2019
1032019
Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder
Y Wang, H Yang, X Yuan, YAW Shardt, C Yang, W Gui
Journal of Process Control 92, 79-89, 2020
1012020
Soft sensor modeling of nonlinear industrial processes based on weighted probabilistic projection regression
X Yuan, Z Ge, Z Song, Y Wang, C Yang, H Zhang
IEEE Transactions on Instrumentation and Measurement 66 (4), 837-845, 2017
992017
Learning deep multimanifold structure feature representation for quality prediction with an industrial application
C Liu, K Wang, Y Wang, X Yuan
IEEE Transactions on Industrial Informatics 18 (9), 5849-5858, 2021
802021
Soft sensor model for dynamic processes based on multichannel convolutional neural network
X Yuan, S Qi, YAW Shardt, Y Wang, C Yang, W Gui
Chemometrics and Intelligent Laboratory Systems 203, 104050, 2020
802020
Co-training partial least squares model for semi-supervised soft sensor development
L Bao, X Yuan, Z Ge
Chemometrics and Intelligent Laboratory Systems 147, 75-85, 2015
792015
Temperature prediction model for roller kiln by ALD-based double locally weighted kernel principal component regression
N Chen, J Dai, X Yuan, W Gui, W Ren, HN Koivo
IEEE Transactions on Instrumentation and Measurement 67 (8), 2001-2010, 2018
782018
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