| Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study Z Zhao, T Li, J Wu, C Sun, S Wang, R Yan, X Chen ISA transactions 107, 224-255, 2020 | 506 | 2020 |
| Applications of unsupervised deep transfer learning to intelligent fault diagnosis: A survey and comparative study Z Zhao, Q Zhang, X Yu, C Sun, S Wang, R Yan, X Chen IEEE Transactions on Instrumentation and Measurement 70, 1-28, 2021 | 457 | 2021 |
| Matching demodulation transform and synchrosqueezing in time-frequency analysis S Wang, X Chen, G Cai, B Chen, X Li, Z He IEEE Transactions on Signal Processing 62 (1), 69-84, 2014 | 282 | 2014 |
| Time-reassigned synchrosqueezing transform: The algorithm and its applications in mechanical signal processing D He, H Cao, S Wang, X Chen Mechanical Systems and Signal Processing 117, 255-279, 2019 | 222 | 2019 |
| Transient modeling and parameter identification based on wavelet and correlation filtering for rotating machine fault diagnosis S Wang, W Huang, ZK Zhu Mechanical Systems and Signal Processing 25 (4), 1299-1320, 2011 | 221 | 2011 |
| Nonconvex sparse regularization and convex optimization for bearing fault diagnosis S Wang, I Selesnick, G Cai, Y Feng, X Sui, X Chen IEEE Transactions on Industrial Electronics 65 (9), 7332-7342, 2018 | 220 | 2018 |
| Enhanced sparse period-group lasso for bearing fault diagnosis Z Zhao, S Wu, B Qiao, S Wang, X Chen IEEE Transactions on Industrial Electronics 66 (3), 2143-2153, 2019 | 211 | 2019 |
| Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis R Liu, B Yang, X Zhang, S Wang, X Chen Mechanical Systems and Signal Processing 75, 345-370, 2016 | 186 | 2016 |
| Matching synchrosqueezing wavelet transform and application to aeroengine vibration monitoring S Wang, X Chen, C Tong, Z Zhao IEEE Transactions on Instrumentation and Measurement 66 (2), 360-372, 2017 | 177 | 2017 |
| Matching synchrosqueezing transform: A useful tool for characterizing signals with fast varying instantaneous frequency and application to machine fault diagnosis S Wang, X Chen, IW Selesnick, Y Guo, C Tong, X Zhang Mechanical Systems and Signal Processing 100, 242-288, 2018 | 174 | 2018 |
| Basic research on machinery fault diagnostics: Past, present, and future trends X Chen, S Wang, B Qiao, Q Chen Frontiers of Mechanical Engineering, 1-28, 2018 | 166 | 2018 |
| Detection of rub-impact fault for rotor-stator systems: A novel method based on adaptive chirp mode decomposition S Chen, Y Yang, Z Peng, S Wang, W Zhang, X Chen Journal of Sound and Vibration 440 (3), 83-99, 2019 | 152 | 2019 |
| Adaptive spectral kurtosis filtering based on Morlet wavelet and its application for signal transients detection H Liu, W Huang, S Wang, Z Zhu Signal Processing 96, 118-124, 2014 | 150 | 2014 |
| Matching demodulation transform with applications to feature extraction of rotor rub-impact fault S Wang, X Chen, G Li, X Li, Z He IEEE Transactions on Instrumentation and Measurement 63 (5), 1372-1383, 2014 | 105 | 2014 |
| Nonlinear squeezing time-frequency transform for weak signal detection S Wang, X Chen, Y Wang, G Cai, B Ding, X Zhang Signal Processing 113, 195-210, 2015 | 104 | 2015 |
| Model-driven deep unrolling: Towards interpretable deep learning agianst noise attacks for intelligent fault diagnosis Z Zhao, T Li, B An, S Wang, B Ding, R Yan, X Chen ISA Transactions, 2022 | 87 | 2022 |
| A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis Z Zhao, B Qiao, S Wang, Z Shen, X Chen Journal of Sound and Vibration 446, 429-452, 2019 | 81 | 2019 |
| Sparsity-enhanced signal decomposition via generalized minimax-concave penalty for gearbox fault diagnosis G Cai, I Selesnick, S Wang, W Dai, Z Zhu Journal of Sound and Vibration 432, 213-234, 2018 | 78 | 2018 |
| Conditional adversarial domain generalization with a single discriminator for bearing fault diagnosis Q Zhang, Z Zhao, X Zhang, Y Liu, C Sun, M Li, S Wang, X Chen IEEE Transactions on Instrumentation and Measurement 70, 1-15, 2021 | 74 | 2021 |
| Transient signal analysis based on Levenberg-Marquardt method for fault feature extraction of rotating machines S Wang, G Cai, Z Zhu, W Huang, X Zhang Mechanical Systems and Signal Processing 54, 16-40, 2015 | 71 | 2015 |
Zhibin Zhao/赵志斌Associate Professor of Mechanical Engineering, Xi'an Jiaotong UniversityAdresă de e-mail confirmată pe xjtu.edu.cn