学术动态
当前位置: yl23411永利官网登录 > 学术动态 > 正文

国际机械中心“智能制造、检测与诊断”系列学术讲座通知

发布时间:2022-09-15 点击数:

讲座题目:

Augmented Artificial Intelligence for Smart Manufacturing

讲座人:

Peng (Edward) Wang, Ph.D.

Assistant Professor, Endowed Robley D. Evans Faculty Fellowship

Institute for Sustainable Manufacturing

Department of Electrical and Computer Engineering

Department of Mechanical Engineering

University of Kentucky

Email: Edward.Wang@uky.edu

讲座简介:

Over the past decade, the manufacturing community has been enthusiastically embracing Industry 4.0 techniques, such as the Internet of Things (IoT), edge and cloud computing, and Artificial Intelligence (AI), toward improved production visibility, planning, productivity, quality control, and safety. However, most ML solutions and tools are developed in lab environments and lack credibility for practical implementation in manufacturing plants. This presentation highlights some preliminary works on developing generalizable and applicable Machine Learning (ML) solutions on the manufacturing shop floor. Two case studies are demonstrated in the context of robotic automation of welding processes and machine condition monitoring.

In the first case study, a hybrid ML framework that integrates visual welding sensing with pixel-level image segmentation-enabled weld pool quantification, efficient perceptron-based process-quality modeling, and advanced gradient descent controller for adaptive process parameter adjustment, is demonstrated to realize a closed-loop, real-time, adaptive robotic control and automation of arc welding. In the second case study, to address the data discrepancy and model generalizability issue, a novel approach is demonstrated to automatically learn from unlabeled data streaming and continuously update ML models to adapt to new machine conditions without prior knowledge of condition change points, through the integration of Self-Supervised Learning (SSL) with Continuous Learning (CL). These studies set the foundation for developing Augmented Artificial Intelligence for generalizable and applicable data learning in smart manufacturing.


讲座时间:2022年9月20日(星期二)上午08:45-10:30  

腾讯会议链接: https://meeting.tencent.com/dm/jU6G5E7StGzE

#腾讯会议:273-782-274



地址:陕西省西安市咸宁西路28号 邮编:710049
           版权所有:澳门永利官方老入口 站点维护: 数据与信息中心 陕ICP备06008037号