| Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review T Wang, Q Han, F Chu, Z Feng Mechanical Systems and Signal Processing 126, 662-685, 2019 | 452 | 2019 |
| Rolling element bearing fault diagnosis via fault characteristic order (FCO) analysis T Wang, M Liang, J Li, W Cheng Mechanical Systems and Signal Processing 45 (1), 139-153, 2014 | 205 | 2014 |
| Deep convolutional neural network based planet bearing fault classification D Zhao, T Wang, F Chu Computers in Industry 107, 59-66, 2019 | 180 | 2019 |
| Piezoelectric energy harvester for rolling bearings with capability of self-powered condition monitoring L Zhang, F Zhang, Z Qin, Q Han, T Wang, F Chu Energy 238, 121770, 2022 | 143 | 2022 |
| Time-varying demodulation analysis for rolling bearing fault diagnosis under variable speed conditions Z Feng, X Chen, T Wang Journal of Sound and Vibration 400, 71-85, 2017 | 128 | 2017 |
| Criterion fusion for spectral segmentation and its application to optimal demodulation of bearing vibration signals C Li, M Liang, T Wang Mechanical Systems and Signal Processing 64, 132-148, 2015 | 114 | 2015 |
| Compound faults detection in gearbox via meshing resonance and spectral kurtosis methods T Wang, F Chu, Q Han, Y Kong Journal of Sound and Vibration 392, 367-381, 2017 | 108 | 2017 |
| A triboelectric rolling ball bearing with self-powering and self-sensing capabilities Q Han, Z Ding, Z Qin, T Wang, X Xu, F Chu Nano Energy 67, 104277, 2020 | 100 | 2020 |
| Meshing frequency modulation assisted empirical wavelet transform for fault diagnosis of wind turbine planetary ring gear Y Kong, T Wang, F Chu Renewable energy 132, 1373-1388, 2019 | 98 | 2019 |
| Scaling-basis chirplet transform M Li, T Wang, F Chu, Q Han, Z Qin, MJ Zuo IEEE Transactions on Industrial Electronics 68 (9), 8777-8788, 2020 | 92 | 2020 |
| Bearing fault diagnosis under unknown variable speed via gear noise cancellation and rotational order sideband identification T Wang, M Liang, J Li, W Cheng, C Li Mechanical Systems and Signal Processing 62, 30-53, 2015 | 77 | 2015 |
| A new SKRgram based demodulation technique for planet bearing fault detection T Wang, Q Han, F Chu, Z Feng Journal of Sound and Vibration 385, 330-349, 2016 | 76 | 2016 |
| Kernel density estimation model for wind speed probability distribution with applicability to wind energy assessment in China Q Han, S Ma, T Wang, F Chu Renewable and Sustainable Energy Reviews 115, 109387, 2019 | 71 | 2019 |
| Stator current model for detecting rolling bearing faults in induction motors using magnetic equivalent circuits Q Han, Z Ding, X Xu, T Wang, F Chu Mechanical Systems and Signal Processing 131, 554-575, 2019 | 61 | 2019 |
| Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks S Sun, Y Liu, Q Li, T Wang, F Chu Energy Conversion and Management 283, 116916, 2023 | 60 | 2023 |
| Magnetic equivalent modeling of stator currents for localized fault detection of planetary gearboxes coupled to electric motors Q Han, T Wang, Z Ding, X Xu, F Chu IEEE Transactions on Industrial Electronics 68 (3), 2575-2586, 2020 | 60 | 2020 |
| An enhanced sparse representation-based intelligent recognition method for planet bearing fault diagnosis in wind turbines Y Kong, Z Qin, T Wang, Q Han, F Chu Renewable Energy 173, 987-1004, 2021 | 53 | 2021 |
| Envelope deformation in computed order tracking and error in order analysis W Cheng, RX Gao, J Wang, T Wang, W Wen, J Li Mechanical Systems and Signal Processing 48 (1-2), 92-102, 2014 | 51 | 2014 |
| Fault diagnosis for wind turbine planetary ring gear via a meshing resonance based filtering algorithm T Wang, F Chu, Q Han ISA transactions 67, 173-182, 2017 | 50 | 2017 |
| Discriminative dictionary learning based sparse representation classification for intelligent fault identification of planet bearings in wind turbine Y Kong, T Wang, Z Feng, F Chu Renewable energy 152, 754-769, 2020 | 47 | 2020 |
