| Stacked sparse autoencoder-based deep network for fault diagnosis of rotating machinery Y Qi, C Shen, D Wang, J Shi, X Jiang, Z Zhu Ieee Access 5, 15066-15079, 2017 | 249 | 2017 |
| Multi-scale deep intra-class transfer learning for bearing fault diagnosis X Wang, C Shen, M Xia, D Wang, J Zhu, Z Zhu Reliability Engineering & System Safety 202, 107050, 2020 | 219 | 2020 |
| 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 | 215 | 2011 |
| Initial center frequency-guided VMD for fault diagnosis of rotating machines X Jiang, C Shen, J Shi, Z Zhu Journal of Sound and Vibration 435, 36-55, 2018 | 183 | 2018 |
| A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines X Jiang, J Wang, J Shi, C Shen, W Huang, Z Zhu Mechanical Systems and Signal Processing 116, 668-692, 2019 | 182 | 2019 |
| An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder C Shen, Y Qi, J Wang, G Cai, Z Zhu Engineering Applications of Artificial Intelligence 76, 170-184, 2018 | 163 | 2018 |
| Fault diagnosis of rotating machines based on the EMD manifold J Wang, G Du, Z Zhu, C Shen, Q He Mechanical Systems and Signal Processing 135, 106443, 2020 | 154 | 2020 |
| 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 | 143 | 2014 |
| Bearing fault diagnosis via generalized logarithm sparse regularization Z Zhang, W Huang, Y Liao, Z Song, J Shi, X Jiang, C Shen, Z Zhu Mechanical Systems and Signal Processing 167, 108576, 2022 | 136 | 2022 |
| Time-frequency squeezing and generalized demodulation combined for variable speed bearing fault diagnosis W Huang, G Gao, N Li, X Jiang, Z Zhu IEEE Transactions on Instrumentation and Measurement 68 (8), 2819-2829, 2018 | 119 | 2018 |
| Sparse representation of transients in wavelet basis and its application in gearbox fault feature extraction W Fan, G Cai, ZK Zhu, C Shen, W Huang, L Shang Mechanical Systems and Signal Processing 56, 230-245, 2015 | 117 | 2015 |
| Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions Q Li, C Shen, L Chen, Z Zhu Mechanical Systems and Signal Processing 147, 107095, 2021 | 113 | 2021 |
| Cyclostationarity analysis for gearbox condition monitoring: approaches and effectiveness ZK Zhu, ZH Feng, FR Kong Mechanical Systems and Signal Processing 19 (3), 467-482, 2005 | 113 | 2005 |
| Detection of signal transients based on wavelet and statistics for machine fault diagnosis ZK Zhu, R Yan, L Luo, ZH Feng, FR Kong Mechanical Systems and Signal Processing 23 (4), 1076-1097, 2009 | 103 | 2009 |
| Multiple enhanced sparse decomposition for gearbox compound fault diagnosis N Li, W Huang, W Guo, G Gao, Z Zhu IEEE Transactions on Instrumentation and Measurement 69 (3), 770-781, 2019 | 102 | 2019 |
| Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis S Tang, C Shen, D Wang, S Li, W Huang, Z Zhu Neurocomputing 305, 1-14, 2018 | 93 | 2018 |
| An adaptive and efficient variational mode decomposition and its application for bearing fault diagnosis X Jiang, J Wang, C Shen, J Shi, W Huang, Z Zhu, Q Wang Structural Health Monitoring 20 (5), 2708-2725, 2021 | 81 | 2021 |
| Nonlocal theoretical approaches and atomistic simulations for longitudinal free vibration of nanorods/nanotubes and verification of different nonlocal models C Li, S Li, L Yao, Z Zhu Applied Mathematical Modelling 39 (15), 4570-4585, 2015 | 79 | 2015 |
| Sparsity-enhanced signal decomposition via generalized minimax-concave penalty for gearbox fault diagnosis G Cai, IW Selesnick, S Wang, W Dai, Z Zhu Journal of Sound and Vibration 432, 213-234, 2018 | 73 | 2018 |
| An end-to-end model based on improved adaptive deep belief network and its application to bearing fault diagnosis J Xie, G Du, C Shen, N Chen, L Chen, Z Zhu IEEE Access 6, 63584-63596, 2018 | 71 | 2018 |
weiguo HuangSoochow UniversityПодтвержден адрес электронной почты в домене suda.edu.cn
