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Wang Tianyang
Wang Tianyang
Verified email at mail.tsinghua.edu.cn
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Cited by
Year
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
2822019
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
1732014
Deep convolutional neural network based planet bearing fault classification
D Zhao, T Wang, F Chu
Computers in Industry 107, 59-66, 2019
1142019
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
1072015
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
1012017
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
832017
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
712019
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
712015
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
582016
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
512022
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
482020
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
472019
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
442017
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
412014
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
382020
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
372019
Meshing frequency modulation (MFM) index-based kurtogram for planet bearing fault detection
T Wang, F Chu, Z Feng
Journal of Sound and Vibration 432, 437-453, 2018
332018
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
322020
Signal optimization based generalized demodulation transform for rolling bearing nonstationary fault characteristic extraction
D Zhao, T Wang, RX Gao, F Chu
Mechanical Systems and Signal Processing 134, 106297, 2019
322019
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
302020
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