Physical model-driven performance degradation analysis of planetary gearboxes
Papers|更新时间:2025-07-08
|
Physical model-driven performance degradation analysis of planetary gearboxes
基于物理建模的行星齿轮箱性能退化机理分析
“In the field of mechanical equipment prognostics health management, this study introduces its research progress. Expert established the dynamic model of planetary gearboxes, which provides solutions to solve the problem of expensive and difficult-to-obtain lifecycle monitoring data.”
Journal of Reliability Science and EngineeringIssue 2, Pages: 1-17(2025)
作者机构:
National Key Lab of Aerospace Power System and Plasma Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China
作者简介:
[
"Hongrui Cao obtained his PhD degree from Xi'an Jiaotong University in 2010. He is currently a professor at the School of Mechanical Engineering, Xi'an Jiaotong University. His research focuses primarily on digital twin modeling of major equipment, fault mechanism analysis, fault diagnosis. He has published more than 100 SCI/EI papers, four of which have been selected as ESI Highly Cited Papers. Since 2019, he has been continuously ranked among the top 2% of scientists worldwide and has been included in Elsevier's ‘Highly Cited Chinese Researchers’ list."
]
[
"Chaohu Wei obtained his bachelor's degree from Jilin University in 2020. He is currently pursuing his PhD at the School of Mechanical Engineering, Xi'an Jiaotong University. His research focuses primarily on digital twin modeling of complex gear transmission systems, fault mechanism analysis, and vibration testing. In 2024, he was awarded the National Scholarship for Doctoral Students by the Ministry of Education of the People's Republic of China."
]
[
"Xuefeng Chen obtained his PhD degree from Xi'an Jiaotong University in 2004. He is currently a professor at the School of Mechanical Engineering, Xi'an Jiaotong University. His research focuses primarily on intelligent detection of major mechanical equipment, fault diagnosis and intelligent operation and maintenance. He has won numerous prestigious awards, including the National Technology Invention Award of the People's Republic of China and the Natural Science Award from the Ministry of Education. The mechanical equipment health management and intelligent diagnostic system he developed has been deployed in tens of thousands of units."
]