| Acoustic emission signal processing for rolling bearing running state assessment using compressive sensing C Liu, X Wu, J Mao, X Liu Mechanical Systems and Signal Processing 91, 395-406, 2017 | 59 | 2017 |
| Research on a rolling bearing fault detection method with wavelet convolution deep transfer learning M Liao, C Liu, C Wang, J Yang IEEE Access 9, 45175-45188, 2021 | 24 | 2021 |
| An improved mobileNet network with wavelet energy and global average pooling for rotating machinery fault diagnosis F Zhu, C Liu, J Yang, S Wang Sensors 22 (12), 4427, 2022 | 20 | 2022 |
| Acoustic emission signal fault diagnosis based on compressed sensing for RV reducer J Yang, C Liu, Q Xu, J Tai Sensors 22 (7), 2641, 2022 | 19 | 2022 |
| An improved convolutional capsule network for compound fault diagnosis of RV reducers Q Xu, C Liu, E Yang, M Wang Sensors 22 (17), 6442, 2022 | 14 | 2022 |
| Network lightweight method based on knowledge distillation is applied to RV reducer fault diagnosis F He, C Liu, M Wang, E Yang, X Liu Measurement Science and Technology 34 (9), 095110, 2023 | 8 | 2023 |
| Bearing fault diagnosis based on wavelet sparse convolutional network and acoustic emission compression signals J Tai, C Liu, X Wu, J Yang Math. Biosci. Eng 19 (8), 8057-8080, 2022 | 8 | 2022 |
| An enhanced diagnosis method for weak fault features of bearing acoustic emission signal based on compressed sensing C Wang, C Liu, M Liao, Q Yang Math. Biosci. Eng 18, 1670-1688, 2021 | 7 | 2021 |
| Ball screw fault diagnosis based on wavelet convolution transfer learning Y Xie, C Liu, L Huang, H Duan Sensors 22 (16), 6270, 2022 | 6 | 2022 |
| Sparse feature extraction based on sparse representation and dictionary learning for rolling bearing fault diagnosis C Liu, X Wu, T Liu 2017 International Conference on Applied System Innovation (ICASI), 1733-1735, 2017 | 6 | 2017 |
| 基于近似等距投影和支持向量机的滚动轴承故障诊断 刘畅， 伍星， 刘韬， 柳小勤 振动与冲击 37 (5), 234-239, 2018 | 4 | 2018 |
| 基于压缩感知的滚动轴承振动信号压缩方法 刘畅， 伍星， 毛剑琳， 柳小勤 昆明理工大学学报: 自然科学版 40 (4), 46-50, 2015 | 4 | 2015 |
| 基于压缩感知的滚动轴承特征提取与特征约简方法研究 刘畅 昆明: 昆明理工大学, 2017 | 3 | 2017 |
| 基于广义形态滤波和相关系数的 Hilbert-Huang 变换方法 刘畅， 周川， 伍星， 迟毅林 机械科学与技术 30 (1), 71-75, 2011 | 3 | 2011 |
| 设备在线监测系统的软件架构研究 刘畅， 伍星， 迟毅林， 张文斌 计算机工程 36 (23), 69-71, 2010 | 3 | 2010 |
| 基于深度融合神经网络的轴承健康指标构建 岳研， 刘畅， 刘韬 电子测量与仪器学报 35 (7), 44-52, 2021 | 2 | 2021 |
| Spectrum Sparseness: A new method for frequency spectrum analysis applied to equipment condition assessment C Liu, X Wu, T Yang, T Liu 2016 3rd International Conference on Information Science and Control …, 2016 | 2 | 2016 |
| 基于改进 MOD 学习的滚动轴承振动信号稀疏表示 刘畅， 伍星， 毛剑琳， 刘韬 计算机工程与应用 52 (17), 257-260, 2016 | 2 | 2016 |
| Composite fault diagnosis of gearbox based on deep graph residual convolutional network B Fan, C Liu, G Chang, F He, T Liu Engineering Research Express 6 (3), 035566, 2024 | 1 | 2024 |
| High-Resolution Signal Reconstruction Method Based on Sparse Structure Preservation C Wang, C Liu, M Liao IEEE Access 8, 163152-163162, 2020 | 1 | 2020 |
