Proceedings of the First International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM 2023), Hefei, China, 21st - 23rd September, 2023 (Volume II) Herausgeber: Lin, Jing; Yan, Ruqiang
Proceedings of the First International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM 2023), Hefei, China, 21st - 23rd September, 2023 (Volume II) Herausgeber: Lin, Jing; Yan, Ruqiang
The proceedings of the First International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM 2023) explores the processes that ensure safe operation of equipment and guarantee longer product life cycles. The papers highlight how big data and machine learning make equipment operation highly automated and ingenious.
The proceedings of the First International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM 2023) explores the processes that ensure safe operation of equipment and guarantee longer product life cycles. The papers highlight how big data and machine learning make equipment operation highly automated and ingenious.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Ruqiang Yan is a Full Professor at the School of Mechanical Engineering, Xi'an Jiaotong University, China. He is engaged in research on theoretical methods and engineering applications related to intelligent operation and maintenance of high-end equipment. Dr. Yan is a Fellow of IEEE (2022) and ASME (2019). He has led the development of one IEEE standard and published over one hundred papers in IEEE and ASME journals, and other publications. Currently, he serves as an IEEE Instrumentation and Measurement Society Distinguished Lecturer and is the Editor-in-Chief of the IEEE Transactions on Instrumentation and Measurement. Jing Lin is a professor and Dean of the School of Reliability and Systems Engineering of Beihang University. He is a distinguished professor of the Chang Jiang Scholars Program and an awardee of the National Science Fund for Distinguished Young Scholars. Prof. Lin received his doctor's degree from Xi'an Jiaotong University in 1999. His research interests include machinery dynamic testing and fault diagnosis and industrial big data. Prof. Lin has published over 100 papers in journals, and won a second prize of the State Natural Science Award in 2013. His research has been applied to the fields of energy and power, petrochemistry, equipment manufacturing, rail transit, architecture, biology, electrical engineering and oceanography.
