[1]Kong Y, Wang T, Chu F. Meshing frequency modulation assisted empirical wavelet transform for fault diagnosis of wind turbine planetary ring gear[J]. Renewable Energy, 2019, 132: 1373-1388.
[2]Zhao D, Wang T, Chu F. Deep convolutional neural network based planet bearing fault classification[J]. Computers in Industry, 2019, 107: 59-66.
[3]Wang T, Han Q, Chu F, et al. Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review[J]. Mechanical Systems and Signal Processing, 2019, 126: 662-685.
[4]Wang T, Chu F, Feng Z. Meshing frequency modulation (MFM) index-based kurtogram for planet bearing fault detection[J]. Journal of Sound and Vibration, 2018, 432: 437-453.
[5]Yun K, WANG T, CHU F. Adaptive TQWT filter based feature extraction method and its application to detection of repetitive transients[J]. SCIENCE CHINA Technological Sciences.
[6]Wang T, Chu F, Han Q. Fault diagnosis for wind turbine planetary ring gear via a meshing resonance based filtering algorithm[J]. ISA transactions, 2017, 67: 173-182.
[7]Wang T, Chu F, Han Q, et al. Compound faults detection in gearbox via meshing resonance and spectral kurtosis methods[J]. Journal of Sound and Vibration, 2017, 392: 367-381.
[8]Feng Z, Chen X, Wang T. Time-varying demodulation analysis for rolling bearing fault diagnosis under variable speed conditions[J]. Journal of Sound and Vibration, 2017, 400: 71-85.
[9]Kong Y, Wang T, Li Z, et al. Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet energy spectrum[J]. Frontiers of Mechanical Engineering, 2017, 12(3): 406-419.
[10] Wang T, Han Q, Chu F, et al. A new SKRgram based demodulation technique for planet bearing fault detection[J]. Journal of Sound and Vibration, 2016, 385: 330-349.
[11] Li C, Liang M, Wang T. Criterion fusion for spectral segmentation and its application to optimal demodulation of bearing vibration signals[J]. Mechanical Systems and Signal Processing, 2015, 64: 132-148.
[12]Wang T, Liang M, Li J, et al. Bearing fault diagnosis under unknown variable speed via gear noise cancellation and rotational order sideband identification[J]. Mechanical Systems and Signal Processing, 2015, 62: 30-53.
[13]Wang T, Liang M, Li J, et al. Rolling element bearing fault diagnosis via fault characteristic order (FCO) analysis[J]. Mechanical Systems and Signal Processing, 2014, 45(1): 139-153.
[14] Cheng W, Gao R X, Wang J, et al. Envelope deformation in computed order tracking and error in order analysis[J]. Mechanical Systems and Signal Processing, 2014, 48(1-2): 92-102.
