Liuxiaofei Lecturer

• Department: School of Automobile
• Gender: male
• BirthDate: 1992-11-05
• Career: Lecturer
• Degree: Ph.D.
• Academic Credentials:
• Graduate School: Xi an Jiaotong University
• Tel: 17746829141
• Email: liuxiaofei@chd.edu.cn
• Address School:
• PostCode School:
• Fax School:
• Office Location: Chang an University School of Automotive Engineering Office 307
• Education experience:

Liu Xiaofei is currently a Lecturer and Postdoctoral Faculty Fellow at the School of Automobile, Chang’an University. He got his Bachelor’s degree in Mechanical Engineering and Automation from Nanjing University of Science and Technology and a Master’s degree in Mechatronic Engineering from Dalian University of Technology. In June 2025, he obtained his Ph.D. in Engineering from Xi’an Jiaotong University. His research focuses on complex service conditions of equipment such as vehicles and wind turbines, involving signal feature extraction, health condition monitoring, digital twin modeling, and remaining useful life prediction. He has published over 10 papers in Top  journals in the field, including MSSP and TII.

Signal Processing of Mechanical Equipment, Health Status Monitoring, Remaining Useful Life Prediction

[1] Xiaofei Liu, Naipeng Li, Yago Lei*, et al. Optimal weight impulse extraction: New impulse extraction methodology for incipient gearbox condition monitoring[J]. Mechanical Systems and Signal Processing, 2024, 216: 111449. (中科院大类1区Top、IF=7.9，信号冲击提取新方法)

[2] Xiaofei Liu, Yaguo Lei*, Naipeng Li, et al. An Optimal-Subdomain Generalization Method for Remaining Useful Life Prediction of Machinery Under Time-Varying Operation Conditions[J]. IEEE Transactions on Industrial Informatics, 2023. (中科院大类1区Top、IF=12.3，时变工况寿命预测新范式)

[3] Xiaofei Liu, Yaguo Lei*, Naipeng Li, et al. RUL prediction of machinery using convolutional-vector fusion network through multi-feature dynamic weighting[J]. Mechanical Systems and Signal Processing, 2023, 185: 109788. (中科院大类1区Top、IF=7.9)

[4] Xiaofei Liu, Yaguo Lei, Naipeng Li, et al. Domain weighted distribution adaptation network: a novel remaining useful life prediction framework for machinery targeting time-varying operation conditions[J]. Advanced Engineering Informatics, 2025, 68: 103794. (中科院大类1区Top、IF=9.9)

[5] Yaguo Lei*, Xiaofei Liu, Naipeng Li, et al. Owie-Driven spectrum discrepancy impulse reconstruction: An adaptive impulse extraction methodology for rotating machinery[J]. Mechanical Systems and Signal Processing, 2025, 225: 112288. (中科院大类1区Top、IF=7.9 , MSSP期刊主编荣誉论文集收录)