| Dynamic modeling of gearbox faults: A review X Liang, MJ Zuo, Z Feng Mechanical Systems and Signal Processing 98, 852-876, 2018 | 543 | 2018 |
| Analytically evaluating the influence of crack on the mesh stiffness of a planetary gear set X Liang, MJ Zuo, M Pandey Mechanism and Machine Theory 76, 20-38, 2014 | 348 | 2014 |
| The Entropy Algorithm and Its Variants in the Fault Diagnosis of Rotating Machinery: A Review Y Li, X Wang, Z Liu, X Liang, S Si IEEE Access 6, 66723-66741, 2018 | 294 | 2018 |
| Machine learning-based methods in structural reliability analysis: A review SS Afshari, F Enayatollahi, X Xu, X Liang Reliability Engineering & System Safety 219, 108223, 2022 | 282 | 2022 |
| Vibration signal modeling of a planetary gear set for tooth crack detection X Liang, MJ Zuo, MR Hoseini Engineering Failure Analysis 48, 185-200, 2015 | 252 | 2015 |
| Application of Bandwidth EMD and Adaptive Multiscale Morphology Analysis for Incipient Fault Diagnosis of Rolling Bearings Y Li, M Xu, X Liang, W Huang IEEE Transactions on Industrial Electronics 64 (8), 6506-6517, 2017 | 234 | 2017 |
| A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis W Mao, W Feng, Y Liu, D Zhang, X Liang Mechanical Systems and Signal Processing 150, 107233, 2020 | 227 | 2020 |
| The influence of tooth pitting on the mesh stiffness of a pair of external spur gears X Liang, H Zhang, L Liu, MJ Zuo Mechanism and Machine Theory 106, 1-15, 2016 | 194 | 2016 |
| A fault diagnosis scheme for planetary gearboxes using adaptive multi-scale morphology filter and modified hierarchical permutation entropy Y Li, G Li, Y Yang, X Liang, M Xu Mechanical Systems and Signal Processing 105, 319-337, 2018 | 191 | 2018 |
| Evaluating the time-varying mesh stiffness of a planetary gear set using the potential energy method X Liang, MJ Zuo, TH Patel Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2014 | 172 | 2014 |
| Early fault diagnosis of rolling bearings based on hierarchical symbol dynamic entropy and binary tree support vector machine Y Li, Y Yang, X Wang, B Liu, X Liang Journal of Sound and Vibration 428, 72-86, 2018 | 168 | 2018 |
| A novel deep output kernel learning method for bearing fault structural diagnosis W Mao, W Feng, X Liang Mechanical Systems and Signal Processing 117, 293-318, 2019 | 132 | 2019 |
| A fault diagnosis method for planetary gearboxes under non-stationary working conditions using improved Vold-Kalman filter and multi-scale sample entropy Y Li, K Feng, X Liang, MJ Zuo Journal of Sound and Vibration 439, 271-286, 2019 | 132 | 2019 |
| Early fault feature extraction of rolling bearing based on ICD and tunable Q-factor wavelet transform Y Li, X Liang, M Xu, W Huang Mechanical Systems and Signal Processing 86, 204-223, 2017 | 130 | 2017 |
| Vibration signal modeling of a planetary gear set with transmission path effect analysis L Liu, X Liang, MJ Zuo Measurement 85, 20-31, 2016 | 126 | 2016 |
| A new online detection approach for rolling bearing incipient fault via self-adaptive deep feature matching W Mao, J Chen, X Liang, X Zhang IEEE Transactions on Instrumentation and Measurement 69 (2), 443-456, 2019 | 119 | 2019 |
| Online detection for bearing incipient fault based on deep transfer learning W Mao, L Ding, S Tian, X Liang Measurement 152, 107278, 2020 | 118 | 2020 |
| Three new models for evaluation of standard involute spur gear mesh stiffness X Liang, H Zhang, MJ Zuo, Y Qin Mechanical Systems and Signal Processing 101, 424-434, 2018 | 109 | 2018 |
| A windowing and mapping strategy for gear tooth fault detection of a planetary gearbox X Liang, MJ Zuo, L Liu Mechanical Systems and Signal Processing 80, 445-459, 2016 | 109 | 2016 |
| Diagonal slice spectrum assisted optimal scale morphological filter for rolling element bearing fault diagnosis Y Li, X Liang, MJ Zuo Mechanical Systems and Signal Processing 85, 146-161, 2017 | 100 | 2017 |
Ming J ZuoUniversity of Albertaยืนยันอีเมลแล้วที่ ualberta.ca
