| Composite multi-scale weighted permutation entropy and extreme learning machine based intelligent fault diagnosis for rolling bearing J Zheng, Z Dong, H Pan, Q Ni, T Liu, J Zhang Measurement 143, 69-80, 2019 | 84 | 2019 |
| Time-shift multi-scale weighted permutation entropy and GWO-SVM based fault diagnosis approach for rolling bearing Z Dong, J Zheng, S Huang, H Pan, Q Liu Entropy 21 (6), 621, 2019 | 35 | 2019 |
| Composite multivariate multi-Scale permutation entropy and laplacian score based fault diagnosis of rolling bearing W Ying, J Tong, Z Dong, H Pan, Q Liu, J Zheng Entropy 24 (2), 160, 2022 | 22 | 2022 |
| Non-negative wavelet matrix factorization-based bearing fault intelligent classification method Z Dong, D Zhao, L Cui Measurement Science and Technology 34 (11), 115013, 2023 | 17 | 2023 |
| An intelligent bearing fault diagnosis framework: one-dimensional improved self-attention-enhanced CNN and empirical wavelet transform Z Dong, D Zhao, L Cui Nonlinear Dynamics 112 (8), 6439-6459, 2024 | 12 | 2024 |
| Triplet attention-enhanced residual tree-inspired decision network: A hierarchical fault diagnosis model for unbalanced bearing datasets L Cui, Z Dong, H Xu, D Zhao Advanced Engineering Informatics 59, 102322, 2024 | 8 | 2024 |
| Rotating machinery fault classification based on one-dimensional residual network with attention mechanism and bidirectional gated recurrent unit Z Dong, D Zhao, L Cui Measurement Science and Technology 35 (8), 086001, 2024 | 2 | 2024 |
Jinde ZhengAnhui University of Technology在 ahut.edu.cn 的电子邮件经过验证
