1st Edition

Equipment Intelligent Operation and Maintenance Proceedings of the First International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM 2023), Hefei, China, 21st – 23rd September, 2023 (Volume I)

Edited By Ruqiang Yan, Jing Lin Copyright 2025
1002 Pages
by CRC Press

1002 Pages
by CRC Press

The proceedings of the First International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM 2023) offer invaluable insights into the processes that ensure safe and reliable operation of equipment and guarantee the improvement of product life cycles. The book touches upon a wide array of topics including equipment condition monitoring, fault diagnosis, and remaining useful... Read more

Oral Session 3 (SS4-1, SS4-2)

Oral Session 4 (SS13-1, SS13-2)

Oral Session 5 (SS16-1, SS16-2)

Oral Session 6 (SS20-1, SS20-2)

Oral Session 8 (RS2-1, RS2-2)

Oral Session 10 (SS6, SS21)

Oral Session 11 (SS17, RS3)

Oral Session 12 (SS5, RS4)

Oral Session 13 (SS1)

Oral Session 15 (SS12)

Biography

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.