| 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 |
| A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries MF Ge, Y Liu, X Jiang, J Liu Measurement 174, 109057, 2021 | 227 | 2021 |
| Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines J Wang, S Li, Z An, X Jiang, W Qian, S Ji Neurocomputing 329, 53-65, 2019 | 222 | 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 | 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 |
| A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network Z An, S Li, J Wang, X Jiang ISA transactions 100, 155-170, 2020 | 152 | 2020 |
| 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 |
| Force and displacement transmissibility of a quasi-zero stiffness vibration isolator with geometric nonlinear damping C Cheng, S Li, Y Wang, X Jiang Nonlinear Dynamics 87, 2267-2279, 2017 | 116 | 2017 |
| Imbalanced fault diagnosis of rolling bearing using improved MsR-GAN and feature enhancement-driven CapsNet J Liu, C Zhang, X Jiang Mechanical Systems and Signal Processing 168, 108664, 2022 | 94 | 2022 |
| 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 |
| 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 | 65 | 2021 |
| 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 | 60 | 2019 |
| Central frequency mode decomposition and its applications to the fault diagnosis of rotating machines X Jiang, Q Song, H Wang, G Du, J Guo, C Shen, Z Zhu Mechanism and Machine Theory 174, 104919, 2022 | 59 | 2022 |
| Dual-enhanced sparse decomposition for wind turbine gearbox fault diagnosis L Wang, G Cai, J Wang, X Jiang, Z Zhu IEEE Transactions on Instrumentation and Measurement 68 (2), 450-461, 2018 | 59 | 2018 |
| 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 | 57 | 2018 |
| On the analysis of a high-static-low-dynamic stiffness vibration isolator with time-delayed cubic displacement feedback C Cheng, S Li, Y Wang, X Jiang Journal of Sound and Vibration 378, 76-91, 2016 | 57 | 2016 |
| An intelligent diagnosis framework for roller bearing fault under speed fluctuation condition B Han, S Ji, J Wang, H Bao, X Jiang Neurocomputing 420, 171-180, 2021 | 56 | 2021 |
| An intelligent fault diagnosis framework for raw vibration signals: adaptive overlapping convolutional neural network W Qian, S Li, J Wang, Z An, X Jiang Measurement Science and Technology 29 (9), 095009, 2018 | 56 | 2018 |
| 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 | 56 | 2017 |
Changqing Shen / 沈长青Professor, Soochow University / 苏州大学Подтвержден адрес электронной почты в домене suda.edu.cn
