| 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 | 337 | 2021 |
| 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 |
| 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 | 249 | 2019 |
| 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 | 208 | 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 |
| 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 | 187 | 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 | 178 | 2022 |
| 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 | 142 | 2022 |
| 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 | 135 | 2017 |
| 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 | 133 | 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 | 112 | 2021 |
| 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 | 101 | 2022 |
| 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 |
| 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 | 76 | 2021 |
| Fast nonlinear blind deconvolution for rotating machinery fault diagnosis Z Zhang, J Wang, S Li, B Han, X Jiang Mechanical Systems and Signal Processing 187, 109918, 2023 | 71 | 2023 |
| 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 |
| Evaluation of rail potential and stray current with dynamic traction networks in multitrain subway systems G Du, J Wang, X Jiang, D Zhang, L Yang, Y Hu IEEE Transactions on Transportation Electrification 6 (2), 784-796, 2020 | 69 | 2020 |
| 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 | 69 | 2018 |
| 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 | 66 | 2018 |
| Deep transfer network for rotating machine fault analysis W Qian, S Li, X Jiang Pattern recognition 96, 106993, 2019 | 63 | 2019 |
Changqing Shen / 沈长青Professor, Soochow University / 苏州大学بريد إلكتروني تم التحقق منه على suda.edu.cn
