讲座题目：Complete Stribeck Curve Prediction by Applying Machine Learning to Acoustic Emission Data from a Lubricated Sliding Contact

讲座时间：2025/07/03（周四）上午09:00-11:00

讲座地点：创新港2号巨构2057

讲座人：俞敏研究员

个人简介:俞敏，英国帝国理工学院研究员、博士生导师，帝国理工学院青年学者基金获得者。主要从事融合传感、控制、物理建模与数据驱动技术的智能机械表界面研究，重点应用于机械传动润滑状态感知与机器人触觉感知。已在Nano Energy、Chemical Engineering Journal、Engineering、IEEE Transactions on Industrial Electronics、Mechanical Systems and Signal Processing等期刊发表论文60余篇，拥有发明专利6项。主持科研项目5项，并与丰田、壳牌、埃克森美孚、赛峰集团等多家国际企业开展产学研合作。

讲座简介：The Stribeck curve for a sliding contact characterizes its lubrication behaviour and enables friction to be predicted across various regimes. Current methods of obtaining Stribeck curves are confined to laboratory settings and often involve destructive testing, which precludes real-time monitoring. The work shows a successful prediction of Stribeck curve for a sliding contact by applying machine learning (ML) models to recorded acoustic emission (AE) data, which is suitable for in-situ and non-destructive condition monitoring and failure prediction.