| Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples Z Feng, M Liang, F Chu Mechanical systems and signal Processing 38 (1), 165-205, 2013 | 1007 | 2013 |
| Vibration signal models for fault diagnosis of planetary gearboxes Z Feng, MJ Zuo Journal of Sound and Vibration 331 (22), 4919-4939, 2012 | 525 | 2012 |
| Dynamic modeling of gearbox faults: A review X Liang, MJ Zuo, Z Feng Mechanical Systems and Signal Processing 98, 852-876, 2018 | 497 | 2018 |
| 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 | 485 | 2019 |
| Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation Z Feng, M Liang, Y Zhang, S Hou Renewable Energy 47, 112-126, 2012 | 315 | 2012 |
| Iterative generalized synchrosqueezing transform for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions Z Feng, X Chen, M Liang Mechanical Systems and Signal Processing 52, 360-375, 2015 | 228 | 2015 |
| Fault diagnosis of planetary gearboxes via torsional vibration signal analysis Z Feng, MJ Zuo Mechanical Systems and Signal Processing 36 (2), 401-421, 2013 | 179 | 2013 |
| Fault diagnosis of wind turbine planetary gearbox under nonstationary conditions via adaptive optimal kernel time–frequency analysis Z Feng, M Liang Renewable Energy 66, 468-477, 2014 | 161 | 2014 |
| Adaptive mode decomposition methods and their applications in signal analysis for machinery fault diagnosis: a review with examples Z Feng, D Zhang, MJ Zuo IEEE access 5, 24301-24331, 2017 | 157 | 2017 |
| Time–frequency analysis based on Vold-Kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions Z Feng, S Qin, M Liang Renewable Energy 85, 45-56, 2016 | 138 | 2016 |
| 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 | 130 | 2017 |
| Joint amplitude and frequency demodulation analysis based on local mean decomposition for fault diagnosis of planetary gearboxes Z Feng, MJ Zuo, J Qu, T Tian, Z Liu Mechanical Systems and Signal Processing 40 (1), 56-75, 2013 | 124 | 2013 |
| Atomic decomposition and sparse representation for complex signal analysis in machinery fault diagnosis: A review with examples Z Feng, Y Zhou, MJ Zuo, F Chu, X Chen Measurement 103, 106-132, 2017 | 120 | 2017 |
| Time–frequency analysis of time-varying modulated signals based on improved energy separation by iterative generalized demodulation Z Feng, F Chu, MJ Zuo Journal of Sound and Vibration 330 (6), 1225-1243, 2011 | 111 | 2011 |
| Time-frequency representation based on robust local mean decomposition for multicomponent AM-FM signal analysis Z Liu, Y Jin, MJ Zuo, Z Feng Mechanical systems and signal processing 95, 468-487, 2017 | 109 | 2017 |
| Joint amplitude and frequency demodulation analysis based on intrinsic time-scale decomposition for planetary gearbox fault diagnosis Z Feng, X Lin, MJ Zuo Mechanical Systems and Signal Processing 72, 223-240, 2016 | 102 | 2016 |
| A load identification method based on wavelet multi-resolution analysis Z Li, Z Feng, F Chu Journal of sound and Vibration 333 (2), 381-391, 2014 | 99 | 2014 |
| Time-Frequency demodulation analysis via Vold-Kalman filter for wind turbine planetary gearbox fault diagnosis under nonstationary speeds Z Feng, W Zhu, D Zhang Mechanical systems and signal processing 128, 93-109, 2019 | 98 | 2019 |
| Application of atomic decomposition to gear damage detection Z Feng, F Chu Journal of sound and vibration 302 (1-2), 138-151, 2007 | 89 | 2007 |
| Complex signal analysis for wind turbine planetary gearbox fault diagnosis via iterative atomic decomposition thresholding Z Feng, M Liang Journal of Sound and Vibration 333 (20), 5196-5211, 2014 | 87 | 2014 |
