講座主題：AI and Deep Learning-based Fault Diagnosis of Rotary Machinery
專家姓名：Hamid Reza Karimi
工作單位：Politecnico di Milano
講座時間：2023年1月3日 15:30-17:00
講座地點：騰訊會議：809-478-657
主辦單位：煙臺大學(xué)數(shù)學(xué)與信息科學(xué)學(xué)院
內(nèi)容摘要：
Industry 4.0 has enabled the automation of process improvements and decision making based on the collection of large amounts of plant data. Due to the economic advantages of maintenance optimization, there is significant interest from both academia and industry on the topic of fault detection and prognostics for complex systems. The objective of this speech is to address some challenges and recent results on fault diagnosis of rotary machinery systems, with a focus on advanced artificial intelligence algorithms developments. The talk will be concluded with some concluding remarks on both technical and practical aspects of intelligent fault diagnosis for rotary machinery systems.
主講人介紹：
Hamidreza Karimi is currently Professor of Applied Mechanics with Department of Mechanical Engineering, Politecnico di Milano, Italy. His original research is within switched control theory, cyber-physical systems, AI and applications. He is Ordinary Member of Academia Europea, Distinguished Fellow of International Institute of Acoustics and Vibration, Fellow of International Society for Condition Monitoring, Fellow of Asia-Pacific Artificial Intelligence Association, Member of Agder Academy of Science and Letters, Member of IFAC TCs on Mechatronic Systems, Robust Control, and Automotive Control. He received 2021 CM Innovation Award, 2020 IEEE TCAS Guillemin-Cauer Best Paper Award, August-Wilhelm-Scheer Professorship Award, JSPS Research Award, Alexander-von-Humboldt-Stiftung research Award. Karimi is an Editor-in-Chief, Associate Editor or Book Series Editor. He was General Chair, keynote speaker or program chair for many conferences. He is a Principal Investigator in a Horizon-Europe project on noise and vibration control and served as vice-chairman Juris for Lombardy Nobel Prize in 2022. Karimi has been Web of Science Highly-Cited Researcher in Engineering for last six years.
