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| 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 |
| 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 | 192 | 2020 |
| 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 | 175 | 2018 |
| Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Direct-Drive Wind Turbines J Wang, Y Peng, W Qiao IEEE Transactions on Industrial Electronics 63 (10), 6336 - 6346, 2016 | 168 | 2016 |
| Effects of multiscale noise tuning on stochastic resonance for weak signal detection Q He, J Wang Digital Signal Processing 22 (4), 614-621, 2012 | 153 | 2012 |
| Multiscale noise tuning of stochastic resonance for enhanced fault diagnosis in rotating machines Q He, J Wang, Y Liu, D Dai, F Kong Mechanical Systems and Signal Processing 28, 443-457, 2012 | 149 | 2012 |
| Rotor-Current-Based Fault Diagnosis for DFIG Wind Turbine Drivetrain Gearboxes Using Frequency Analysis and a Deep Classifier F Cheng, J Wang, L Qu, W Qiao IEEE Transactions on Industry Applications 54 (2), 1062-1071, 2018 | 125 | 2018 |
| Rotor current-based fault diagnosis for DFIG wind turbine drivetrain gearboxes using frequency analysis and a deep classifier F Cheng, J Wang, L Qu, W Qiao Industry Applications Society Annual Meeting, 2017 IEEE, 1-9, 2017 | 125 | 2017 |
| Adaptive multiscale noise tuning stochastic resonance for health diagnosis of rolling element bearings J Wang, Q He, F Kong IEEE Transactions on instrumentation and measurement 64 (2), 564-577, 2014 | 117 | 2014 |
| Wayside acoustic diagnosis of defective train bearings based on signal resampling and information enhancement Q He, J Wang, F Hu, F Kong Journal of Sound and Vibration 332 (21), 5635-5649, 2013 | 116 | 2013 |
| 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 |
| Time-frequency manifold as a signature for machine health diagnosis Q He, Y Liu, Q Long, J Wang IEEE Transactions on Instrumentation and Measurement 61 (5), 1218-1230, 2012 | 99 | 2012 |
| Multisource domain feature adaptation network for bearing fault diagnosis under time-varying working conditions R Wang, W Huang, J Wang, C Shen, Z Zhu IEEE Transactions on Instrumentation and Measurement 71, 1-10, 2022 | 96 | 2022 |
| Sensor Fault Detection and Isolation for a Wireless Sensor Network-Based Remote Wind Turbine Condition Monitoring System Y Peng, W Qiao, L Qu, J Wang IEEE Transactions on Industry Applications 54 (2), 1072-1079, 2018 | 87 | 2018 |
| Sensor fault detection and isolation for a wireless sensor network-based remote wind turbine condition monitoring system Y Peng, W Qiao, L Qu, J Wang Industry Applications Society Annual Meeting, 2017 IEEE, 1-7, 2017 | 87 | 2017 |
| 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 |
| Multiscale filtering reconstruction for wind turbine gearbox fault diagnosis under varying-speed and noisy conditions J Wang, F Cheng, W Qiao, L Qu IEEE Transactions on Industrial Electronics 65 (5), 4268-4278, 2017 | 74 | 2017 |
| 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 | 72 | 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 |
weiguo HuangSoochow University在 suda.edu.cn 的电子邮件经过验证