| Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings Y Miao, M Zhao, J Lin, Y Lei Mechanical Systems and Signal Processing 92, 173-195, 2017 | 302 | 2017 |
| Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition Y Miao, M Zhao, J Lin ISA transactions 84, 82-95, 2019 | 213 | 2019 |
| Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification Y Miao, M Zhao, J Lin Measurement Science and Technology 28 (12), 125001, 2017 | 199 | 2017 |
| A review on the application of blind deconvolution in machinery fault diagnosis Y Miao, B Zhang, J Lin, M Zhao, H Liu, Z Liu, H Li Mechanical Systems and Signal Processing 163, 108202, 2022 | 130 | 2022 |
| Practical framework of Gini index in the application of machinery fault feature extraction Y Miao, J Wang, B Zhang, H Li Mechanical Systems and Signal Processing 165, 108333, 2022 | 129 | 2022 |
| Detection and recovery of fault impulses via improved harmonic product spectrum and its application in defect size estimation of train bearings M Zhao, J Lin, Y Miao, X Xu Measurement 91, 421-439, 2016 | 126 | 2016 |
| Feature mode decomposition: New decomposition theory for rotating machinery fault diagnosis Y Miao, B Zhang, C Li, J Lin, D Zhang IEEE Transactions on Industrial Electronics 70 (2), 1949-1960, 2022 | 111 | 2022 |
| Research on sparsity indexes for fault diagnosis of rotating machinery Y Miao, M Zhao, J Hua Measurement 158, 107733, 2020 | 91 | 2020 |
| Adaptive maximum second-order cyclostationarity blind deconvolution and its application for locomotive bearing fault diagnosis B Zhang, Y Miao, J Lin, Y Yi Mechanical Systems and Signal Processing 158, 107736, 2021 | 87 | 2021 |
| Sparse maximum harmonics-to-noise-ratio deconvolution for weak fault signature detection in bearings Y Miao, M Zhao, J Lin, X Xu Measurement Science and Technology 27 (10), 105004, 2016 | 78 | 2016 |
| Application of an improved MCKDA for fault detection of wind turbine gear based on encoder signal Y Miao, M Zhao, K Liang, J Lin Renewable Energy 151, 192-203, 2020 | 63 | 2020 |
| Optimal swarm decomposition with whale optimization algorithm for weak feature extraction from multicomponent modulation signal Y Miao, M Zhao, V Makis, J Lin Mechanical Systems and Signal Processing 122, 673-691, 2019 | 63 | 2019 |
| Periodicity-impulsiveness spectrum based on singular value negentropy and its application for identification of optimal frequency band Y Miao, M Zhao, J Lin IEEE Transactions on Industrial Electronics 66 (4), 3127-3138, 2018 | 61 | 2018 |
| Application of sparsity-oriented VMD for gearbox fault diagnosis based on built-in encoder information Y Miao, M Zhao, Y Yi, J Lin ISA transactions 99, 496-504, 2020 | 57 | 2020 |
| Weighted envelope spectrum based on the spectral coherence for bearing diagnosis B Zhang, Y Miao, J Lin, H Li ISA transactions 123, 398-412, 2022 | 50 | 2022 |
| Optimal preventive maintenance policy of the balanced system under the semi-Markov model J Wang, Y Miao Reliability Engineering & System Safety 213, 107690, 2021 | 49 | 2021 |
| Deep network-based maximum correlated kurtosis deconvolution: A novel deep deconvolution for bearing fault diagnosis Y Miao, C Li, H Shi, T Han Mechanical Systems and Signal Processing 189, 110110, 2023 | 37 | 2023 |
| Period-oriented multi-hierarchy deconvolution and its application for bearing fault diagnosis Y Miao, B Zhang, M Zhao, J Lin ISA transactions 114, 455-469, 2021 | 31 | 2021 |
| Modified minimum variance imaging of Lamb waves for damage localization in aluminum plates and composite laminates J Hua, H Zhang, Y Miao, J Lin Ndt & E International 125, 102574, 2022 | 22 | 2022 |
| An imperfect age-based and condition-based opportunistic maintenance model for a two-unit series system J Wang, Y Miao, Y Yi, D Huang Computers & Industrial Engineering 160, 107583, 2021 | 21 | 2021 |
Ming ZhaoXi'an Jiaotong University在 mail.xjtu.edu.cn 的电子邮件经过验证
