青年编委风采 | 刘超副研究员：清华大学

摘要：刘超，清华大学能源与动力工程系副研究员，工学博士。研究领域为旋转机械结构动力学、失效机理与预防，能源动力系统预测诊断与健康管理，信息物理系统(CPS)数据挖掘与机器学习应用。主持国家自然科学基金、重点研发计划子课题等课题5项，企业合作课题10余项，申请并获得国

人物介绍

刘超，清华大学能源与动力工程系副研究员，工学博士。研究领域为旋转机械结构动力学、失效机理与预防，能源动力系统预测诊断与健康管理，信息物理系统(CPS)数据挖掘与机器学习应用。主持国家自然科学基金、重点研发计划子课题等课题5项，企业合作课题10余项，申请并获得国家发明专利20余项、软件著作权12项，发表论文100余篇。中国振动工程学会转子动力学专业委员会委员，《中国舰船研究》《热能动力工程》《发电技术》等期刊青年编委。

近期成果

[1] 樊昱玮, 郭腾博, 李哲, 洪良友, 刘超, 蒋东翔. 基于长短时记忆网络的结构动态载荷预测方法[J].中国舰船研究,2024,19(6):228-236.

[2] 赵南洋, 刘超, 杜文龙, 蒋东翔. 基于LSTM预测与云重心评判的舰船柴油机健康状态评估[J]. 中国舰船研究, 2025, 20(2): 99–106.

[3] Fan, Y., Song, T., Feng, C., Liu, C., & Jiang, D. (2025). Wind power prediction using foundation large time series models enhanced by time series prompt in exogenous and tuning forms. Applied Energy, 400, 126535.

[4] Song, K., Liu, C., & Jiang, D. (2025). A positive-unlabeled learning approach for industrial anomaly detection based on self-adaptive training.Neurocomputing, 130488.

[5] Huang, G., Liu, C., & Jiang, D. (2024). Dynamic modeling and experimental modal analysis for the central rod-fastened rotor with Hirth couplings based on fractal contact theory. Journal of Engineering for Gas Turbines and Power, 146(10), 101015.

[6] Fan, Y., Feng, C., Wu, R., Liu, C., & Jiang, D. (2024). Multiscale-attention masked autoencoder for missing data imputation of wind turbines. Knowledge-Based Systems, 299, 112114.

[7] Feng, C., Liu, C., & Jiang, D. (2024). Root cause localization for wind turbines using physics guided multivariate graphical modeling and fault propagation analysis. Knowledge-Based Systems, 295, 111838.

[8] Wu, R., Liu, C., & Jiang, D. (2024). Unsupervised Bayesian change-point detection approach for reliable prognostics and health management of complex mechanical systems. Reliability engineering & system safety, 245, 110037.

[9] Wang, H., Jiang, Z., Liu, C., Sarkar, S., Jiang, D., & Lee, Y. M. Asynchronous Training Schemes in Distributed Learning with Time Delay. Transactions on Machine Learning Research.

[10] Jia, K., Liu, C., Li, S., & Jiang, D. (2023). Modeling and optimization of a hybrid renewable energy system integrated with gas turbine and energy storage. Energy Conversion and Management, 279, 116763.

往期青年编委风采回顾