Semi-Supervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System with Limited Labeled Data XZMJZ Liu IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020 | 129 | 2020 |
Deep Laplacian Auto-encoder and its application into imbalanced fault diagnosis of rotating machinery X Zhao, M Jia, M Lin Measurement 152, 107320, 2020 | 118 | 2020 |
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network X Zhao, J Yao, W Deng, P Ding, Y Ding, M Jia, Z Liu IEEE Transactions on Neural Networks and Learning Systems,, doi: 10.1109 …, 2022 | 107 | 2022 |
Multi-heterostructure and mechanical properties of N-doped FeMnCoCr high entropy alloy Z He, N Jia, H Yan, Y Shen, M Zhu, X Guan, X Zhao, S Jin, G Sha, Y Zhu, ... International Journal of Plasticity 139, 102965, 2021 | 103 | 2021 |
Fault diagnosis of rolling bearing based on feature reduction with global-local margin Fisher analysis X Zhao, M Jia Neurocomputing 315, 447-464, 2018 | 85 | 2018 |
Normalized Conditional Variational Auto-Encoder with adaptive Focal loss for imbalanced fault diagnosis of Bearing-Rotor system X Zhao, J Yao, W Deng, M Jia, Z Liu Mechanical Systems and Signal Processing 170, 108826, 2022 | 70 | 2022 |
Intelligent Fault Diagnosis of Multi-Channel Motor-Rotor System Based on Multi-manifold Deep Extreme Learning Machine AX Zhao, M Jia, P Ding, C Yang, D She, Z Liu IEEE/ASME TRANSACTIONS ON MECHATRONICS, 2020 | 68 | 2020 |
Large-scale, uniform, and superhydrophobic titania nanotubes at the inner surface of 1000 mm long titanium tubes C Xiang, L Sun, Y Wang, G Wang, X Zhao, S Zhang The Journal of Physical Chemistry C 121 (28), 15448-15455, 2017 | 65 | 2017 |
Deep imbalanced domain adaptation for transfer learning fault diagnosis of bearings under multiple working conditions Y Ding, M Jia, J Zhuang, Y Cao, X Zhao, CG Lee Reliability Engineering & System Safety 230, 108890, 2023 | 64 | 2023 |
A solar tube: Efficiently converting sunlight into electricity and heat C Xiang, X Zhao, L Tan, J Ye, S Wu, S Zhang, L Sun Nano Energy 55, 269-276, 2019 | 64 | 2019 |
A novel unsupervised deep learning network for intelligent fault diagnosis of rotating machinery X Zhao, M Jia Structural Health Monitoring 19 (6), 1745-1763, 2020 | 63 | 2020 |
A new local-global deep neural network and its application in rotating machinery fault diagnosis X Zhao, M Jia Neurocomputing 366, 215-233, 2019 | 63 | 2019 |
Semi-Supervised Deep Sparse Auto-Encoder with Local and Non-Local Information for Intelligent Fault Diagnosis of Rotating Machinery X Zhao, M Jia, Z Liu IEEE Transactions on Instrumentation and Measurement, 2020 | 57 | 2020 |
Multi-Scale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions JZZL X. Zhao, J. Yao, W. Deng, P. Ding IEEE Transactions on Industrial Informatics 1 (doi: 10.1109/TII.2022 …, 2022 | 53* | 2022 |
Multiple-Order Graphical Deep Extreme Learning Machine for Unsupervised Fault Diagnosis of Rolling Bearing ZL Xiaoli Zhao , Minping Jia , Junchi Bin , Teng Wang IEEE Transactions on Instrumentation and Measurement 70, 2021 | 52* | 2021 |
Distribution and effects of natural selenium in soybean proteins and its protective role in soybean β-conglycinin (7S globulins) under AAPH-induced oxidative stress X Zhao, Q Zhao, H Chen, H Xiong Food chemistry 272, 201-209, 2019 | 50 | 2019 |
Meta deep learning based rotating machinery health prognostics toward few-shot prognostics P Ding, M Jia, X Zhao Applied Soft Computing 104, 107211, 2021 | 48 | 2021 |
Nanostructured three-dimensional percolative channels for separation of oil-in-water emulsions J Jin, X Zhao, YH Du, M Ding, C Xiang, N Yan, C Jia, Z Han, L Sun Iscience 6, 289-298, 2018 | 47 | 2018 |
Annealing effects on microstructural, optical, and mechanical properties of sputtered CrN thin film coatings: experimental studies and finite element modeling K Ibrahim, MM Rahman, X Zhao, JP Veder, Z Zhou, E Mohammadpour, ... Journal of Alloys and Compounds 750, 451-464, 2018 | 44 | 2018 |
Transfer learning for remaining useful life prediction across operating conditions based on multisource domain adaptation Y Ding, P Ding, X Zhao, Y Cao, M Jia IEEE/ASME Transactions on Mechatronics 27 (5), 4143-4152, 2022 | 41 | 2022 |