| Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis H Pan, Y Yang, X Li, J Zheng, J Cheng Mechanical Systems and Signal Processing 114, 189-211, 2019 | 212 | 2019 |
| Highly efficient fault diagnosis of rotating machinery under time-varying speeds using LSISMM and small infrared thermal images X Li, H Shao, S Lu, J Xiang, B Cai IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (12), 7328-7340, 2022 | 133 | 2022 |
| A fusion CWSMM-based framework for rotating machinery fault diagnosis under strong interference and imbalanced case X Li, J Cheng, H Shao, K Liu, B Cai IEEE Transactions on Industrial Informatics 18 (8), 5180-5189, 2021 | 95 | 2021 |
| A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis X Li, Y Yang, H Pan, J Cheng, J Cheng Computers in Industry 110, 36-47, 2019 | 94 | 2019 |
| Symplectic weighted sparse support matrix machine for gear fault diagnosis X Li, Y Yang, H Shao, X Zhong, J Cheng, J Cheng Measurement 168, 108392, 2021 | 73 | 2021 |
| Adaptive periodic mode decomposition and its application in rolling bearing fault diagnosis J Cheng, Y Yang, X Li, J Cheng Mechanical Systems and Signal Processing 161, 107943, 2021 | 64 | 2021 |
| Modified Gaussian convolutional deep belief network and infrared thermal imaging for intelligent fault diagnosis of rotor-bearing system under time-varying speeds L Xin, S Haidong, J Hongkai, X Jiawei Structural Health Monitoring 21 (2), 339-353, 2022 | 58 | 2022 |
| An early fault diagnosis method of gear based on improved symplectic geometry mode decomposition J Cheng, Y Yang, X Li, H Pan, J Cheng Measurement 151, 107140, 2020 | 52 | 2020 |
| Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression X Li, X Zhong, H Shao, T Han, C Shen Reliability Engineering & System Safety 216, 108018, 2021 | 49 | 2021 |
| Discriminative manifold random vector functional link neural network for rolling bearing fault diagnosis X Li, Y Yang, N Hu, Z Cheng, J Cheng Knowledge-Based Systems 211, 106507, 2021 | 42 | 2021 |
| A fault diagnosis approach for roller bearing based on symplectic geometry matrix machine H Pan, Y Yang, J Zheng, X Li, J Cheng Mechanism and machine theory 140, 31-43, 2019 | 39 | 2019 |
| Non-parallel least squares support matrix machine for rolling bearing fault diagnosis X Li, Y Yang, H Pan, J Cheng, J Cheng Mechanism and Machine Theory 145, 103676, 2020 | 38 | 2020 |
| Symplectic geometry packet decomposition and its applications to gear fault diagnosis J Cheng, Y Yang, X Li, J Cheng Mechanical Systems and Signal Processing 174, 109096, 2022 | 27 | 2022 |
| Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix X Li, Y Yang, N Hu, Z Cheng, H Shao, J Cheng Advanced Engineering Informatics 51, 101513, 2022 | 26 | 2022 |
| Intelligent fault diagnosis of bevel gearboxes using semi-supervised probability support matrix machine and infrared imaging X Li, Y Li, K Yan, H Shao, JJ Lin Reliability Engineering & System Safety 230, 108921, 2023 | 23 | 2023 |
| Multivariate local characteristic-scale decomposition and 1.5-dimensional empirical envelope spectrum based gear fault diagnosis J Zhou, Y Yang, X Li, H Shao, J Cheng Mechanism and Machine Theory 172, 104772, 2022 | 16 | 2022 |
| Symplectic interactive support matrix machine and its application in roller bearing condition monitoring H Pan, Y Yang, J Zheng, X Li, J Cheng Neurocomputing 398, 1-10, 2020 | 15 | 2020 |
| A bearing fault diagnosis scheme with statistical-enhanced covariance matrix and Riemannian maximum margin flexible convex hull classifier X Li, Y Yang, W Ping, W Jian, J Cheng ISA transactions 111, 323-336, 2021 | 7 | 2021 |
| High-accuracy gearbox health state recognition based on graph sparse random vector functional link network X Li, Y Yang, Z Wu, K Yan, H Shao, J Cheng Reliability Engineering & System Safety 218, 108187, 2022 | 6 | 2022 |
| Bearing fault diagnosis method based on complete center frequency distribution feature Y Li, G Cheng, S Ma, X Li Structural Health Monitoring 22 (6), 4100-4116, 2023 | 2 | 2023 |
Haidong ShaoAssociate Professor, College of Mechanical and Vehicle Engineering, Hunan University,Geverifieerd e-mailadres voor hnu.edu.cn
