主持横纵向项目5项，包括国家自然科学基金·青年项目1项；陕西省矿山机电装备智能检测与控制重点实验室项目，开放基金课题1项；等。

2. 杜映，乔勇，邵涛，周春国，王硕. 融合时间窗局部平滑与Spearman双趋势轴的齿轮磨损状态判别方法[J]. 振动工程学报, 2026. （已录用）

3. 邵涛，刘唯一，杜映*，孙柏坤，王建磊，赵桐，王硕. 无监督异常表征与视觉大模型联合驱动的滑动轴承表面损伤零样本检测方法[J]. 振动工程学报, 2026, 39: 1-14. DOI:10.16385/j.cnki.issn.1004-4523.202604043.

4. Ying Du, Hui Wei, Tao Shao*, Shishuai Chen, Jianlei Wang, Chunguo Zhou, Yanchao Zhang. Convolutional Neural Networks-Long Short-Term Memory-Attention: A Novel Model for Wear State Prediction Based on Oil Monitoring Data[J]. Lubricants, 2025, 13(7): 306. 

5. Ying Du, YueZhang, Tao Shao*, Yanchao Zhang, Yahui Cui, Shuo Wang. DSU-LSTM-Based TrendPrediction Method for Lubricating Oil[J]. Lubricants, 2024, 12(8): 289. 

6.  Ying Du*,Hongkun Wu, David Garcia Cava. A motion-blurred restoration method for surfacedamage detection of wind turbine blades[J]. Measurement, 2023, 217: 113031. 

7. Ying Du, Chaoqun Duan*, Tonghai Wu. Lubricating oil deterioration modeling and remaining useful life prediction based on hidden semi-Markov modeling [J]. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 2022, 236(5): 916-923. 

8. Ying Du,Shengxi Zhou*, Xingjian Jing, Yeping Peng, Hongkun Wu, Ngaiming Kwok. Damagedetection techniques for wind turbine blades: A review[J]. MechanicalSystems and Signal Processing, 2020, 141: 106445. 

9. Ying Du,Chaoqun Duan*, Thonghai Wu. Replacement scheme for lubricating oil based on Bayesiancontrol chart[J]. IEEE Transactions on Instrumentation & Measurement,2020, 70: 1-10. 

10. Ying Du,Tonghai Wu*, Shengxi Zhou, Viliam Makis. Remaining useful life prediction oflubricating oil with dynamic principal component analysis and proportionalhazards model[J]. Proceedings of the Institution of Mechanical Engineers,Part J: Journal of Engineering Tribology, 2020, 234(6): 964-971. 

11. Ying Du, Tonghai Wu*, Viliam Makis.Parameter estimation and remaining useful life prediction of lubricating oilwith HMM[J]. Wear, 2017, 376:1227-1233. 

12. Ying Du, Tonghai Wu*, Longxin Wang, RenjieGong. Investigation on on-line monitoring method for lubricating oildeterioration[J]. Mechanics &Industry, 2017, 18(4): 402: 1-8.