| 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 | 260 | 2017 |
| 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 | 209 | 2019 |
| 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 | 204 | 2018 |
| 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 | 178 | 2022 |
| 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 |
| 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 | 113 | 2021 |
| Bearing fault diagnosis under variable rotational speed via the joint application of windowed fractal dimension transform and generalized demodulation: A method free from … J Shi, M Liang, Y Guan Mechanical Systems and Signal Processing 68, 15-33, 2016 | 87 | 2016 |
| Multi-source fidelity sparse representation via convex optimization for gearbox compound fault diagnosis W Huang, Z Song, C Zhang, J Wang, J Shi, X Jiang, Z Zhu Journal of Sound and vibration 496, 115879, 2021 | 80 | 2021 |
| Machinery health monitoring based on unsupervised feature learning via generative adversarial networks J Dai, J Wang, W Huang, J Shi, Z Zhu IEEE/ASME Transactions on Mechatronics 25 (5), 2252-2263, 2020 | 73 | 2020 |
| Nonconvex group sparsity signal decomposition via convex optimization for bearing fault diagnosis W Huang, N Li, I Selesnick, J Shi, J Wang, L Mao, X Jiang, Z Zhu IEEE Transactions on Instrumentation and Measurement 69 (7), 4863-4872, 2019 | 70 | 2019 |
| Modeling method of the grey GM (1, 1) model with interval grey action quantity and its application B Zeng, X Ma, J Shi Complexity 2020 (1), 6514236, 2020 | 66 | 2020 |
| A hybrid technique based on convolutional neural network and support vector regression for intelligent diagnosis of rotating machinery W You, C Shen, X Guo, X Jiang, J Shi, Z Zhu Advances in Mechanical Engineering 9 (6), 1687814017704146, 2017 | 63 | 2017 |
| A new l0-norm embedded MED method for roller element bearing fault diagnosis at early stage of damage X Jiang, X Cheng, J Shi, W Huang, C Shen, Z Zhu Measurement 127, 414-424, 2018 | 60 | 2018 |
| Transient extraction based on minimax concave regularized sparse representation for gear fault diagnosis W Huang, S Li, X Fu, C Zhang, J Shi, Z Zhu Measurement 151, 107273, 2020 | 52 | 2020 |
| Intelligent bearing fault signature extraction via iterative oscillatory behavior based signal decomposition (IOBSD) J Shi, M Liang Expert Systems with Applications 45, 40-55, 2016 | 46 | 2016 |
| Improved hierarchical adaptive deep belief network for bearing fault diagnosis C Shen, J Xie, D Wang, X Jiang, J Shi, Z Zhu Applied Sciences 9 (16), 3374, 2019 | 37 | 2019 |
| Non-dominated solution set based on time–frequency infograms for local damage detection of rotating machines X Jiang, J Shi, W Huang, Z Zhu ISA transactions 92, 213-227, 2019 | 34 | 2019 |
| Generalized variable-step multiscale lempel-ziv complexity: A feature extraction tool for bearing fault diagnosis J Shi, Z Su, H Qin, C Shen, W Huang, Z Zhu IEEE Sensors Journal 22 (15), 15296-15305, 2022 | 32 | 2022 |
| Domain fuzzy generalization networks for semi-supervised intelligent fault diagnosis under unseen working conditions H Ren, J Wang, Z Zhu, J Shi, W Huang Mechanical Systems and Signal Processing 200, 110579, 2023 | 31 | 2023 |
| Continual learning fault diagnosis: A dual-branch adaptive aggregation residual network for fault diagnosis with machine increments C Bojian, S Changqing, SHI Juanjuan, K Lin, TAN Luyang, W Dong, ... Chinese Journal of Aeronautics 36 (6), 361-377, 2023 | 30 | 2023 |
