| An optimized VMD method and its applications in bearing fault diagnosis H Li, T Liu, X Wu, Q Chen Measurement 166, 108185, 2020 | 203 | 2020 |
| Research on bearing fault feature extraction based on singular value decomposition and optimized frequency band entropy H Li, T Liu, X Wu, Q Chen Mechanical systems and signal processing 118, 477-502, 2019 | 124 | 2019 |
| Application of EEMD and improved frequency band entropy in bearing fault feature extraction H Li, T Liu, X Wu, Q Chen ISA transactions 88, 170-185, 2019 | 104 | 2019 |
| A bearing fault diagnosis method based on enhanced singular value decomposition H Li, T Liu, X Wu, Q Chen IEEE Transactions on Industrial Informatics 17 (5), 3220-3230, 2021 | 98 | 2021 |
| Enhanced frequency band entropy method for fault feature extraction of rolling element bearings H Li, T Liu, X Wu, Q Chen IEEE Transactions on Industrial Informatics 16 (9), 5780-5791, 2020 | 55 | 2020 |
| Composite fault diagnosis for rolling bearing based on parameter-optimized VMD H Li, X Wu, T Liu, S Li, B Zhang, G Zhou, T Huang Measurement 201, 111637, 2022 | 50 | 2022 |
| Research on test bench bearing fault diagnosis of improved EEMD based on improved adaptive resonance technology H Li, T Liu, X Wu, S Li Measurement 185, 109986, 2021 | 42 | 2021 |
| Application of optimized variational mode decomposition based on kurtosis and resonance frequency in bearing fault feature extraction H Li, T Liu, X Wu, Q Chen Transactions of the Institute of Measurement and Control 42 (3), 518-527, 2020 | 38 | 2020 |
| A weak fault feature extraction of rolling element bearing based on attenuated cosine dictionaries and sparse feature sign search H Zhou, H Li, T Liu, Q Chen ISA transactions 97, 143-154, 2020 | 37 | 2020 |
| Correlated SVD and its application in bearing fault diagnosis H Li, T Liu, X Wu, S Li IEEE Transactions on Neural Networks and Learning Systems 34 (1), 355-365, 2023 | 21 | 2023 |
| 基于信息熵优化变分模态分解的滚动轴承故障特征提取 李华， 伍星， 刘韬， 陈庆 振动与冲击 37 (23), 219-225, 2018 | 16 | 2018 |
| Rotating Machinery Fault Diagnosis Based on Typical Resonance Demodulation Methods: A Review SL Hua Li, Tao Liu, Xing Wu IEEE Sensors Journal 23 (7), 6439-6459, 2023 | 12 | 2023 |
| The Methodology of Modified Frequency Band Envelope Kurtosis for Bearing fault diagnosis H Li, X Wu, T Liu, S Li IEEE Transactions on Industrial Informatics 19 (3), 2856-2865, 2023 | 12 | 2023 |
| Bearing fault feature extraction based on optimized EMD by adaptive resonance L Hua, Y Tangfeng, W Xing, L Tao, C Qing 2017 9th International Conference on Modelling, Identification and Control …, 2017 | 10 | 2017 |
| 变分模态分解和改进的自适应共振技术在轴承故障特征提取中的应用 李华， 伍星， 刘韬， 陈庆 振动工程学报 31 (4), 718-726, 2018 | 8 | 2018 |
| 相关奇异值比的 SVD 在轴承故障诊断中的应用 李华， 刘韬， 伍星， 李少波 机械工程学报 57 (21), 138-149, 2021 | 6 | 2021 |
| 基于 SVD 和熵优化频带熵的滚动轴承故障诊断研究 李华， 刘韬， 伍星， 陈庆 振动工程学报 31 (2), 358-364, 2018 | 6 | 2018 |
| EEMD 和优化的频带熵应用于轴承故障特征提取 李华， 刘韬， 伍星， 陈庆 振动工程学报 33 (2), 414-423, 2020 | 4 | 2020 |
| Transparent operator network: a fully interpretable network incorporating learnable wavelet operator for intelligent fault diagnosis Q Li, H Li, W Hu, S Sun, Z Qin, F Chu IEEE Transactions on Industrial Informatics, 2024 | 1 | 2024 |
| Stacking multi-view broad learning system with residual structures for classification T Huang, H Li, G Zhou, S Li Information Sciences 669, 120559, 2024 | | 2024 |
Haoxuan ZhouXi'an Jiaotong university/Politecnico di Milano在 stu.xjtu.edu.cn 的电子邮件经过验证
