| Conditional GAN and 2-D CNN for bearing fault diagnosis with small samples J Yang, J Liu, J Xie, C Wang, T Ding IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 149 | 2021 |
| A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating J Yang, J He, X Guan, D Wang, H Chen, W Zhang, Y Liu Mechanical Systems and Signal Processing 78, 118-133, 2016 | 131 | 2016 |
| Remaining useful life prediction method for bearings based on LSTM with uncertainty quantification J Yang, Y Peng, J Xie, P Wang Sensors 22 (12), 4549, 2022 | 65 | 2022 |
| A fatigue crack size evaluation method based on lamb wave simulation and limited experimental data J He, Y Ran, B Liu, J Yang, X Guan Sensors 17 (9), 2097, 2017 | 60 | 2017 |
| A Lamb wave quantification model for inclined cracks with experimental validation HE Jingjing, HUO Haode, G Xuefei, Y Jinsong Chinese Journal of Aeronautics 34 (2), 601-611, 2021 | 54 | 2021 |
| A model assessment method for predicting structural fatigue life using Lamb waves D Wang, J He, X Guan, J Yang, W Zhang Ultrasonics 84, 319-328, 2018 | 47 | 2018 |
| A lithium-ion battery remaining useful life prediction method based on unscented particle filter and optimal combination strategy J Yang, W Fang, J Chen, B Yao Journal of Energy Storage 55, 105648, 2022 | 45 | 2022 |
| Lamb wave damage quantification using GA-based LS-SVM F Sun, N Wang, J He, X Guan, J Yang Materials 10 (6), 648, 2017 | 44 | 2017 |
| A response reconstruction method based on empirical mode decomposition and modal synthesis method J Yang, Z Fu, Y Zou, X He, X Wei, T Wang Mechanical Systems and Signal Processing 184, 109716, 2023 | 32 | 2023 |
| Probabilistic model updating for sizing of hole-edge crack using fiber bragg grating sensors and the high-order extended finite element method J He, J Yang, Y Wang, H Waisman, W Zhang Sensors 16 (11), 1956, 2016 | 28 | 2016 |
| Multi-information fusion fault diagnosis of bogie bearing under small samples via unsupervised representation alignment deep Q-learning Y Zhu, X Liang, T Wang, J Xie, J Yang IEEE Transactions on Instrumentation and Measurement 72, 1-15, 2022 | 21 | 2022 |
| Research status on structural health monitoring technology for aircraft structures WF Zhang, YJS HE JJ Aviation manufacturing technology 60 (19), 38-47, 2017 | 14 | 2017 |
| Deep adversarial hybrid domain-adaptation network for varying working conditions fault diagnosis of high-speed train bogie B Yang, T Wang, J Xie, J Yang IEEE Transactions on Instrumentation and Measurement 72, 1-10, 2023 | 13 | 2023 |
| Defect detection inside a rail head by ultrasonic guided waves J Xie, W Ding, W Zou, T Wang, J Yang Symmetry 14 (12), 2566, 2022 | 12 | 2022 |
| 面向飞行器结构的健康监控技术研究现状 张卫方， 何晶靖， 阳劲松， 刘晓鹏， 张萌， 王翔宇 航空制造技术 60 (19), 38-47, 2017 | 12 | 2017 |
| Molecule dynamics simulation of the effect of oxidative aging on properties of nitrile rubber J Yang, W Lou Polymers 14 (2), 226, 2022 | 11 | 2022 |
| A diagnostic framework with a novel simulation data augmentation method for rail damages based on transfer learning J Xie, Z Guo, T Wang, J Yang Structural Health Monitoring 22 (5), 3437-3450, 2023 | 9 | 2023 |
| Structural damage identification based on transmissibility in time domain Y Zou, X Lu, J Yang, T Wang, X He Sensors 22 (1), 393, 2022 | 9 | 2022 |
| A mechanism-based automatic fault diagnosis method for gearboxes L Xu, T Wang, J Xie, J Yang, G Gao Sensors 22 (23), 9150, 2022 | 7 | 2022 |
| A crack size quantification method using high-resolution lamb waves X Li, J Yang, G Zhang Sensors 21 (20), 6941, 2021 | 7 | 2021 |
