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weining lu
weining lu
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Deep model based domain adaptation for fault diagnosis
W Lu, B Liang, Y Cheng, D Meng, J Yang, T Zhang
IEEE Transactions on Industrial Electronics 64 (3), 2296-2305, 2016
6962016
Deep structured energy based models for anomaly detection
S Zhai, Y Cheng, W Lu, Z Zhang
International conference on machine learning, 1100-1109, 2016
5292016
Remaining useful life prediction of aircraft engine based on degradation pattern learning
Z Zhao, B Liang, X Wang, W Lu
Reliability Engineering & System Safety 164, 74-83, 2017
2772017
Early fault detection approach with deep architectures
W Lu, Y Li, Y Cheng, D Meng, B Liang, P Zhou
IEEE Transactions on instrumentation and measurement 67 (7), 1679-1689, 2018
1712018
Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions
D Wang, M Zhang, Y Xu, W Lu, J Yang, T Zhang
Mechanical Systems and Signal Processing 155, 107510, 2021
1552021
Unsupervised sequential outlier detection with deep architectures
W Lu, Y Cheng, C Xiao, S Chang, S Huang, B Liang, T Huang
IEEE transactions on image processing 26 (9), 4321-4330, 2017
1292017
Bearing fault diagnosis method based on stacked autoencoder and softmax regression
S Tao, T Zhang, J Yang, X Wang, W Lu
2015 34th Chinese Control Conference (CCC), 6331-6335, 2015
1282015
A deep transfer model with wasserstein distance guided multi-adversarial networks for bearing fault diagnosis under different working conditions
M Zhang, D Wang, W Lu, J Yang, Z Li, B Liang
IEEe Access 7, 65303-65318, 2019
1142019
Doubly convolutional neural networks
S Zhai, Y Cheng, ZM Zhang, W Lu
Advances in neural information processing systems 29, 2016
912016
Dynamic modeling and vibration characteristics analysis of flexible-link and flexible-joint space manipulator
D Meng, Y She, W Xu, W Lu, B Liang
Multibody System Dynamics 43, 321-347, 2018
702018
A novel feature extraction method using deep neural network for rolling bearing fault diagnosis
W Lu, X Wang, C Yang, T Zhang
The 27th Chinese Control and Decision Conference (2015 CCDC), 2427-2431, 2015
492015
Vibration suppression control of free-floating space robots with flexible appendages for autonomous target capturing
D Meng, W Lu, W Xu, Y She, X Wang, B Liang, B Yuan
Acta Astronautica 151, 904-918, 2018
392018
A 3D static modeling method and experimental verification of continuum robots based on pseudo-rigid body theory
S Huang, D Meng, X Wang, B Liang, W Lu
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
302019
A particle filter and long short term memory fusion algorithm for failure prognostic of proton exchange membrane fuel cells
C Yang, Z Li, B Liang, W Lu, X Wang, H Liu
2017 29th Chinese Control And Decision Conference (CCDC), 5646-5651, 2017
202017
Deep model-based semi-supervised learning way for outlier detection in wireless capsule endoscopy images
Y Gao, W Lu, X Si, Y Lan
IEEE Access 8, 81621-81632, 2020
182020
A novel fusion strategy for failure prognostic of proton exchange membrane fuel cell stack
C Yang, Z Li, B Liang, Q Cui, W Lu, J Yang
2017 36th Chinese Control Conference (CCC), 7070-7076, 2017
142017
Hypotheses tree building for one-shot temporal sentence localization
D Liu, X Fang, P Zhou, X Di, W Lu, Y Cheng
Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1640-1648, 2023
132023
Domain adaptation with multilayer adversarial learning for fault diagnosis of gearbox under multiple operating conditions
M Zhang, W Lu, J Yang, D Wang, L Bin
2019 Prognostics and System Health Management Conference (PHM-Qingdao), 1-6, 2019
112019
Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural networks
H Dai, W Lu, X Li, J Yang, D Meng, Y Liu, B Liang
Frontiers of Information Technology & Electronic Engineering 23 (7), 1069-1076, 2022
82022
Application of local outlier factor method and back-propagation neural network for steel plates fault diagnosis
Z Zhao, J Yang, W Lu, X Wang
The 27th Chinese Control and Decision Conference (2015 CCDC), 2416-2421, 2015
72015
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