| A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning K Yu, TR Lin, H Ma, X Li, X Li Mechanical Systems and Signal Processing 146, 107043, 2021 | 214 | 2021 |
| A combined polynomial chirplet transform and synchroextracting technique for analyzing nonstationary signals of rotating machinery K Yu, TR Lin, H Ma, H Li, J Zeng IEEE Transactions on Instrumentation and Measurement 69 (4), 1505-1518, 2019 | 140 | 2019 |
| Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing Y Zhang, JC Ji, Z Ren, Q Ni, F Gu, K Feng, K Yu, J Ge, Z Lei, Z Liu Reliability Engineering & System Safety 234, 109186, 2023 | 97 | 2023 |
| Analysis of varying contact angles and load distributions in defective angular contact ball bearing X Li, K Yu, H Ma, L Cao, Z Luo, H Li, L Che Engineering Failure Analysis 91, 449-464, 2018 | 92 | 2018 |
| A bearing fault diagnosis technique based on singular values of EEMD spatial condition matrix and Gath-Geva clustering K Yu, TR Lin, JW Tan Applied Acoustics 121, 33-45, 2017 | 89 | 2017 |
| Simulation data driven weakly supervised adversarial domain adaptation approach for intelligent cross-machine fault diagnosis K Yu, Q Fu, H Ma, TR Lin, X Li Structural Health Monitoring 20 (4), 2182-2198, 2021 | 77 | 2021 |
| Second order multi-synchrosqueezing transform for rub-impact detection of rotor systems K Yu, H Ma, H Han, J Zeng, H Li, X Li, Z Xu, B Wen Mechanism and Machine Theory 140, 321-349, 2019 | 77 | 2019 |
| An adaptive sensitive frequency band selection method for empirical wavelet transform and its application in bearing fault diagnosis K Yu, TR Lin, J Tan, H Ma Measurement 134, 375-384, 2019 | 74 | 2019 |
| A consistency regularization based semi-supervised learning approach for intelligent fault diagnosis of rolling bearing K Yu, H Ma, TR Lin, X Li Measurement 165, 107987, 2020 | 62 | 2020 |
| A bearing fault and severity diagnostic technique using adaptive deep belief networks and Dempster–Shafer theory K Yu, TR Lin, J Tan Structural Health Monitoring 19 (1), 240-261, 2020 | 62 | 2020 |
| Supervised contrastive learning-based domain adaptation network for intelligent unsupervised fault diagnosis of rolling bearing Y Zhang, Z Ren, S Zhou, K Feng, K Yu, Z Liu IEEE/ASME Transactions on Mechatronics 27 (6), 5371-5380, 2022 | 58 | 2022 |
| Universal source-free domain adaptation method for cross-domain fault diagnosis of machines Y Zhang, Z Ren, K Feng, K Yu, M Beer, Z Liu Mechanical Systems and Signal Processing 191, 110159, 2023 | 53 | 2023 |
| Rubbing dynamic characteristics of the blisk-casing system with elastic supports J Zeng, C Zhao, H Ma, K Yu, B Wen Aerospace Science and Technology 95, 105481, 2019 | 46 | 2019 |
| 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 | 43 | 2023 |
| Coupled flapwise-chordwise-axial-torsional dynamic responses of rotating pre-twisted and inclined cantilever beams subject to the base excitation J Zeng, H Ma, K Yu, Z Xu, B Wen Applied Mathematics and Mechanics 40 (8), 1053-1082, 2019 | 40 | 2019 |
| Dynamic model-assisted bearing remaining useful life prediction using the cross-domain transformer network Y Zhang, K Feng, JC Ji, K Yu, Z Ren, Z Liu IEEE/ASME Transactions on Mechatronics 28 (2), 1070-1080, 2022 | 36 | 2022 |
| MMFNet: Multisensor data and multiscale feature fusion model for intelligent cross-domain machinery fault diagnosis Y Zhang, K Feng, H Ma, K Yu, Z Ren, Z Liu IEEE Transactions on Instrumentation and Measurement 71, 1-11, 2022 | 33 | 2022 |
| Rubbing response comparisons between single blade and flexible ring using different rubbing force models J Zeng, H Ma, K Yu, X Guo, B Wen International Journal of Mechanical Sciences 164, 105164, 2019 | 31 | 2019 |
| An adaptive domain adaptation method for rolling bearings’ fault diagnosis fusing deep convolution and self-attention networks X Yu, Y Wang, Z Liang, H Shao, K Yu, W Yu IEEE Transactions on Instrumentation and Measurement 72, 1-14, 2023 | 28 | 2023 |
| A method for calculating radial time-varying stiffness of flexible cylindrical roller bearings with localized defects H Xu, D He, H Ma, K Yu, X Zhao, Y Yang Engineering Failure Analysis 128, 105590, 2021 | 28 | 2021 |
Hui Ma（马辉）Northeastern University在 mail.neu.edu.cn 的电子邮件经过验证
