Title / AuthorYear
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
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
Application of deep learning algorithms in geotechnical engineering: a short critical review
W Zhang, H Li, Y Li, H Liu, Y Chen, X Ding
Artificial Intelligence Review, 1-41
2021
A survey on deep learning for data-driven soft sensors
Q Sun, Z Ge
IEEE Transactions on Industrial Informatics 17 (9), 5853-5866
2021
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
An unsupervised fault diagnosis method for rolling bearing using STFT and generative neural networks
H Tao, P Wang, Y Chen, V Stojanovic, H Yang
Journal of the Franklin Institute 357 (11), 7286-7307
2020
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
Semisupervised graph convolution deep belief network for fault diagnosis of electormechanical system with limited labeled data
X Zhao, M Jia, Z Liu
IEEE Transactions on Industrial Informatics 17 (8), 5450-5460
2020
Deep learning for industrial KPI prediction: When ensemble learning meets semi-supervised data
Q Sun, Z Ge
IEEE Transactions on Industrial Informatics 17 (1), 260-269
2020
A data-driven approach of product quality prediction for complex production systems
L Ren, Z Meng, X Wang, L Zhang, LT Yang
IEEE Transactions on Industrial Informatics 17 (9), 6457-6465
2020
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
Supervised variational autoencoders for soft sensor modeling with missing data
R Xie, NM Jan, K Hao, L Chen, B Huang
IEEE Transactions on Industrial Informatics 16 (4), 2820-2828
2019
Deep learning-based solar-cell manufacturing defect detection with complementary attention network
B Su, H Chen, P Chen, G Bian, K Liu, W Liu
IEEE Transactions on Industrial Informatics 17 (6), 4084-4095
2020
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
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
A one-dimensional cnn-lstm model for epileptic seizure recognition using eeg signal analysis
G Xu, T Ren, Y Chen, W Che
Frontiers in neuroscience 14, 578126
2020
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
A novel semi-supervised pre-training strategy for deep networks and its application for quality variable prediction in industrial processes
X Yuan, C Ou, Y Wang, C Yang, W Gui
Chemical Engineering Science 217, 115509
2020
Stacked enhanced auto-encoder for data-driven soft sensing of quality variable
X Yuan, S Qi, Y Wang
IEEE Transactions on Instrumentation and Measurement 69 (10), 7953-7961
2020
An optimized long short-term memory network based fault diagnosis model for chemical processes
Y Han, N Ding, Z Geng, Z Wang, C Chu
Journal of Process Control 92, 161-168
2020
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