一、基本情况
刘楚梁，男，湖南邵阳人，中共党员，博士，校聘副教授，硕士生导师。主要从事机械系统故障诊断、风电装备运维、主动噪声控制等方面的科研与教学工作，在《Engineering Applications of Artificial Intelligence》、《IEEE Transactions on Instrumentation & Measurement》、《Measurement》等权威期刊上发表论文多篇。
电子邮件：liuchuliang@hnust.edu.cn 电话：13627383628
二、教育经历
2023.01-至今 湖南科技大学 校聘副教授
2018.09-2022.12 中南大学 机械工程 博士
2015.09-2018.06 湘潭大学 机械工程 硕士
2011.09-2015.06 中国矿业大学 机械工程 本科
三、研究方向
1. 风电装备智能运维
2. 主动噪声控制
3. 深度学习理论与应用
四、部分代表性成果
1. Chuliang Liu, Luo Zhiwei, Zhonghe Huang, et al. Multikernel correntropy transfer robust dictionary learning and its application in bearing fault diagnosis[J]. Engineering Applications of Artificial Intelligence, 2026, 165: 113466.
2. Chuliang Liu, Zhonghe Huang and Xian Wang. Error-weighted collaborative dictionary learning for rolling bearings fault diagnosis[J]. IEEE Transactions on Instrumentation and Measurement, 2025.
3. Chuliang Liu, Zhonghe Huang and Xian Wang, An adaptive orthogonality-constrained robust dictionary learning approach and its application to bearing fault diagnosis, IEEE Sensors Journal, 2025.
4. Chuliang Liu, Jianping Tan, Zhonghe Huang. Adaptive variational mode extraction method for bearing fault diagnosis based on window fusion, Measurement, 2022.
5. Chuliang Liu, Jianping Tan, Zhonghe Huang. Maximum correntropy criterion-based blind deconvolution and its application for bearing fault detection, Measurement, 2022.
6. Chuliang Liu, Jianping Tan. An enhanced variational mode decomposition based on correntropy and a periodicity-assisted log-cycligram for bearing fault diagnosis, Measurement Science and Technology, 2022.
7. Chuliang Liu, Jianping Tan, Zhonghe Huang. Fault Diagnosis of Rolling Element Bearings Based on Adaptive Mode Extraction, Machines, 2022.
8. Zhonghe Huang, Chuliang Liu, Qiao Sun. Dynamics analysis and multi-objective optimization for a dry friction damper, International Journal of Mechanical Sciences, 2025.
9.Zhonghe Huang, Chuliang Liu. Mechanistic and data-driven modeling of diaphragm coupling misalignment dynamics[J]. International Journal of Mechanical Sciences, 2026: 111154.
