| Fault diagnosis of wind turbine gearbox using a novel method of fast deep graph convolutional networks X Yu, B Tang, K Zhang IEEE Transactions on Instrumentation and Measurement 70, 1-14, 2021 | 168 | 2021 |
| Fault diagnosis of rotating machinery based on graph weighted reinforcement networks under small samples and strong noise X Yu, B Tang, L Deng Mechanical Systems and Signal Processing 186, 109848, 2023 | 51 | 2023 |
| Multiscale dynamic fusion prototypical cluster network for fault diagnosis of planetary gearbox under few labeled samples B Li, B Tang, L Deng, X Yu Computers in Industry 123, 103331, 2020 | 46 | 2020 |
| Fault detection of wind turbines by subspace reconstruction-based robust kernel principal component analysis K Zhang, B Tang, L Deng, X Yu IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 43 | 2021 |
| Multi-block domain adaptation with central moment discrepancy for fault diagnosis P Xiong, B Tang, L Deng, M Zhao, X Yu Measurement 169, 108516, 2021 | 41 | 2021 |
| Fault source location of wind turbine based on heterogeneous nodes complex network K Zhang, B Tang, L Deng, X Yu, J Wei Engineering Applications of Artificial Intelligence 103, 104300, 2021 | 20 | 2021 |
| 强背景噪声条件下自适应图卷积神经网络的航空 发动机附件机匣故障诊断方法 余晓霞， 汤宝平， 魏静， 邓蕾 仪器仪表学报, 78-86, 2023 | 8 | 2023 |
| On the calculation of the dipole correlation function for rigid rotator (under random forces) WT Coffey, A Morita Journal of Physics D: Applied Physics 9 (1), L17, 1976 | 8 | 1976 |
| Gear degradation trend prediction by meta-learning gated recurrent unit networks under few samples 余晓霞， 邓蕾， 汤宝平， 夏乙， 李琪康 Journal of Mechanical Engineering 58 (3), 149-156, 2022 | 4 | 2022 |
| A multi-head self-attention autoencoder network for fault detection of wind turbine gearboxes under random loads X Yu, Z Zhang, B Tang, M Zhao Measurement Science and Technology 35 (8), 086137, 2024 | 3 | 2024 |
| Repairing deteriorated data of wind turbines by multi-head attention bi-directional long short time memory networks under complex working conditions 余晓霞， 汤宝平， 王伟影， 吴宣勇， 李彪 Journal of Mechanical Engineering 59 (14), 1-9, 2022 | 3 | 2022 |
| 同步器摩擦特性建模仿真与试验 张志刚， 余晓霞， 郑燕杰， 李腾 中国机械工程 30 (07), 825, 2019 | 3 | 2019 |
| 同步器摩擦传动机理建模与材料参数影响研究 张志刚， 余晓霞， 侯亚斌， 欧欣 中国公路学报 32 (8), 174-182, 2019 | 2 | 2019 |
| 同步器同步机理建模与结构影响因素分析 张志刚， 余晓霞， 彭元平， 侯亚斌， 欧欣 哈尔滨工业大学学报 51 (7), 192-200, 2019 | 2 | 2019 |
| 基于 AMESim 同步器换挡性能仿真与优化 余晓霞， 张志刚， 苏洪 机械传动, 60-65, 2018 | 2 | 2018 |
| A method based on DWRNet and MGAU for RUL prediction of bearing with few samples X Yu, Z Zhang, B Tang, M Zhao, Z Xiang, X Wang, X Wang Journal of Vibration and Control, 10775463241245584, 2024 | 1 | 2024 |
| A recurrent positional encoding circular attention mechanism network for biomedical image segmentation X Yu, Y Qin, F Zhang, Z Zhang Computer Methods and Programs in Biomedicine 246, 108054, 2024 | 1 | 2024 |
| Non-Temporal Neural Networks for Predicting Degradation Trends of Key Wind-Turbine Gearbox Components X Yu, Z Zhang, B Tang, J Ma Renewable Energy, 122438, 2025 | | 2025 |
| Research on Life Prediction of Rolling Bearings Based on Analog-Digital Hybrid Drive System J Ma, J Ma, L Wei, E Yang, X Yu, Y Xin 2024 2nd International Conference on Mechatronics, IoT and Industrial …, 2024 | | 2024 |
| Meta-adaptive graph convolutional networks with few samples for the fault diagnosis of rotating machinery X Yu, Z Zhang, B Tang, M Zhao IEEE Sensors Journal, 2024 | | 2024 |