PAIR Seminar: Advanced AI for Machine and Process Monitoring in Digital Manufacturing (只有英文版本)
研究院/研究中心講座
摘要
With the rise of Industry 4.0, industrial machines and manufacturing processes are being widely connected and monitored which produces a large amount of sensory data. Data-driven approaches have shown huge potential in achieving precise and intelligent condition monitoring and optimization of industrial machines and processes. Deep learning, a subcategory of machine learning (ML) and Artificial Intelligence (AI), has achieved remarkable success in various areas in the recent decade. However, critical challenges still exist in developing effective and reliable AI solutions in practical industrial settings, e.g. lack of data, varying working conditions, sensor failure and strong sensing noise, etc. This seminar will introduce the recent methodological advances of deep learning-based approaches in solving these problems for smart and sustainable manufacturing. Also, the latest physics-informed machine learning and its applications will be presented which has huge potential in solving a wide range of engineering problems.
講者
Dr Min Xia
Associate Professor
Director of Machine Intelligence Laboratory,
Department of Mechanical and Materials Engineering,
The University of Western Ontario, Canada
Dr. Min Xia is an Associate Professor and the Director of Machine Intelligence Laboratory (MIN Lab) at the Department of Mechanical and Materials Engineering at Western University in Canada. He was an Associate Professor at Lancaster University in the UK. His research interests include intelligent machine condition monitoring, advanced manufacturing process monitoring and optimization, industrial data mining, and smart clean energy system. He has led 14 research projects as PI or Co-I funded by Horizon 2020, Innovate UK, NSERC, Mitacs, etc., with direct funding of more than $1.7m out of $19m. Dr. Xia has published more than 80 papers in peer-reviewed journals and conferences including top journals in mechatronics and industrial informatics, such as IEEE/ASME Transactions on Mechatronics and IEEE Transactions on Industrial Informatics. He has been ranked in the Top 2% of scientists in the world, based on the impact of their published works. Dr. Xia is Editor-in-Chief of Journal of Mechatronic Systems and Control, Associate Editor of IEEE Transactions on Industrial Informatics, IEEE Transactions on Istrumentation and Measurement, Journal of Intelligent Manufacturing, and IET Collaborative Intelligent Manufacturing. He is a Senior Member of IEEE and Fellow of Higher Education Academy.
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