| Multistep forecasting for diurnal wind speed based on hybrid deep learning model with improved singular spectrum decomposition X Yan, Y Liu, Y Xu, M Jia Energy Conversion and Management 225, 113456, 2020 | 105 | 2020 |
| Deep regularized variational autoencoder for intelligent fault diagnosis of rotor–bearing system within entire life-cycle process X Yan, D She, Y Xu, M Jia Knowledge-Based Systems 226, 107142, 2021 | 77 | 2021 |
| Multichannel fault diagnosis of wind turbine driving system using multivariate singular spectrum decomposition and improved Kolmogorov complexity X Yan, Y Liu, Y Xu, M Jia Renewable Energy 170, 724-748, 2021 | 77 | 2021 |
| A novel multi-scale fusion framework for detail-preserving low-light image enhancement Y Xu, C Yang, B Sun, X Yan, M Chen Information Sciences 548, 378-397, 2021 | 68 | 2021 |
| CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery Y Xu, K Feng, X Yan, R Yan, Q Ni, B Sun, Z Lei, Y Zhang, Z Liu Information Fusion 95, 1-16, 2023 | 66 | 2023 |
| Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions X Yan, D She, Y Xu Expert Systems with Applications 216, 119479, 2023 | 60 | 2023 |
| Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions Y Xu, X Yan, B Sun, Z Liu Reliability Engineering & System Safety 225, 108618, 2022 | 56 | 2022 |
| Multireceptive field denoising residual convolutional networks for fault diagnosis Y Xu, X Yan, B Sun, J Zhai, Z Liu IEEE Transactions on Industrial Electronics 69 (11), 11686-11696, 2021 | 52 | 2021 |
| Attention-based multiscale denoising residual convolutional neural networks for fault diagnosis of rotating machinery Y Xu, X Yan, K Feng, X Sheng, B Sun, Z Liu Reliability Engineering & System Safety 226, 108714, 2022 | 47 | 2022 |
| Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning Y Zhang, K Yu, Z Lei, J Ge, Y Xu, Z Li, Z Ren, K Feng Expert Systems with Applications 232, 120854, 2023 | 40 | 2023 |
| Digital twin enabled domain adversarial graph networks for bearing fault diagnosis K Feng, Y Xu, Y Wang, S Li, Q Jiang, B Sun, J Zheng, Q Ni IEEE Transactions on Industrial Cyber-Physical Systems, 2023 | 29 | 2023 |
| Deep coupled visual perceptual networks for motor fault diagnosis under nonstationary conditions Y Xu, X Yan, B Sun, Z Liu IEEE/ASME Transactions on Mechatronics 27 (6), 4840-4850, 2022 | 27 | 2022 |
| Cross-modal fusion convolutional neural networks with online soft-label training strategy for mechanical fault diagnosis Y Xu, K Feng, X Yan, X Sheng, B Sun, Z Liu, R Yan IEEE Transactions on Industrial Informatics 20 (1), 73-84, 2023 | 26 | 2023 |
| Multi-focus image fusion using learning based matting with sum of the Gaussian-based modified Laplacian Y Xu, B Sun, X Yan, J Hu, M Chen Digital Signal Processing 106, 102821, 2020 | 26 | 2020 |
| Dually attentive multiscale networks for health state recognition of rotating machinery Y Xu, X Yan, B Sun, Z Liu Reliability Engineering & System Safety 225, 108626, 2022 | 24 | 2022 |
| Hierarchical multiscale dense networks for intelligent fault diagnosis of electromechanical systems Y Xu, X Yan, B Sun, Z Liu IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 23 | 2022 |
| Reliable fault diagnosis of bearings using an optimized stacked variational denoising auto-encoder X Yan, Y Xu, D She, W Zhang Entropy 24 (1), 36, 2021 | 20 | 2021 |
| A bearing fault diagnosis method based on PAVME and MEDE X Yan, Y Xu, D She, W Zhang Entropy 23 (11), 1402, 2021 | 20 | 2021 |
| Global contextual multiscale fusion networks for machine health state identification under noisy and imbalanced conditions Y Xu, X Yan, K Feng, Y Zhang, X Zhao, B Sun, Z Liu Reliability Engineering & System Safety 231, 108972, 2023 | 19 | 2023 |
| Application of generalized composite multiscale Lempel–Ziv complexity in identifying wind turbine gearbox faults X Yan, D She, Y Xu, M Jia Entropy 23 (11), 1372, 2021 | 19 | 2021 |
