| 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 | 990 | 2013 |
| Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications Y Wang, J Xiang, R Markert, M Liang Mechanical Systems and Signal Processing 66, 679-698, 2016 | 490 | 2016 |
| 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 | 312 | 2012 |
| Time–frequency signal analysis for gearbox fault diagnosis using a generalized synchrosqueezing transform C Li, M Liang Mechanical Systems and Signal Processing 26, 205-217, 2012 | 299 | 2012 |
| A smoothness index-guided approach to wavelet parameter selection in signal de-noising and fault detection IS Bozchalooi, M Liang Journal of Sound and Vibration 308 (1-2), 246-267, 2007 | 245 | 2007 |
| Modeling job rotation in manufacturing systems: The study of employee's boredom and skill variations N Azizi, S Zolfaghari, M Liang International journal of production economics 123 (1), 69-85, 2010 | 235 | 2010 |
| A generalized synchrosqueezing transform for enhancing signal time–frequency representation C Li, M Liang Signal Processing 92 (9), 2264-2274, 2012 | 233 | 2012 |
| An adaptive SK technique and its application for fault detection of rolling element bearings Y Wang, M Liang Mechanical Systems and Signal Processing 25 (5), 1750-1764, 2011 | 225 | 2011 |
| 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 | 224 | 2015 |
| An energy operator approach to joint application of amplitude and frequency-demodulations for bearing fault detection M Liang, IS Bozchalooi Mechanical systems and signal processing 24 (5), 1473-1494, 2010 | 209 | 2010 |
| 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 | 208 | 2014 |
| Fault severity assessment for rolling element bearings using the Lempel–Ziv complexity and continuous wavelet transform H Hong, M Liang Journal of sound and vibration 320 (1-2), 452-468, 2009 | 195 | 2009 |
| Detection and diagnosis of bearing and cutting tool faults using hidden Markov models T Boutros, M Liang Mechanical Systems and Signal Processing 25 (6), 2102-2124, 2011 | 186 | 2011 |
| 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 | 159 | 2014 |
| A joint resonance frequency estimation and in-band noise reduction method for enhancing the detectability of bearing fault signals IS Bozchalooi, M Liang Mechanical Systems and Signal Processing 22 (4), 915-933, 2008 | 158 | 2008 |
| Wavelet‐based detection of beam cracks using modal shape and frequency measurements J Xiang, M Liang Computer‐Aided Civil and Infrastructure Engineering 27 (6), 439-454, 2012 | 154 | 2012 |
| Generalized stepwise demodulation transform and synchrosqueezing for time–frequency analysis and bearing fault diagnosis J Shi, M Liang, DS Necsulescu, Y Guan Journal of Sound and Vibration 368, 202-222, 2016 | 141 | 2016 |
| 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 | 136 | 2016 |
| Bearing fault diagnosis under unknown time-varying rotational speed conditions via multiple time-frequency curve extraction H Huang, N Baddour, M Liang Journal of Sound and Vibration 414, 43-60, 2018 | 126 | 2018 |
| Identification of multiple transient faults based on the adaptive spectral kurtosis method Y Wang, M Liang Journal of Sound and Vibration 331 (2), 470-486, 2012 | 120 | 2012 |
Chuan LIProfessor, Chongqing Technology and Business University在 ctbu.edu.cn 的电子邮件经过验证
