E-mail:liyifan@swjtu.edu.cn
Personal website:https://faculty.swjtu.edu.cn/liyifan/en/index.htm" />
Associate Professor

Li Yifan

Professor (Associate)

Email: liyifan@swjtu.edu.cn

Links: https://faculty.swjtu.edu.cn/liyifan/en/index.htm


BIO

Education

PhD, Southwest Jiaotong University, Vehicle Operation Engineering (2013)

B.S., Southwest Jiaotong University, Measurement and Control Technology and Instrumentation (2008)


Employment

Academic Appointments

Associate Professor, School of Mechanical Engineering, Southwest Jiaotong University, China (2017-present)

Postdoctoral Fellow, Department of Mechanical Engineering, University of Alberta, Canada (2015-2016)

Lecture, School of Mechanical Engineering, Southwest Jiaotong University, China (2013-2017)


Research Interests

Condition monitoring, fault diagnosis, signal processing, deep learning


SELECTED PUBLICATIONS

Principal Publications of the Last Five Years

Y. Li, Y. Yang, Y. Chen, et al. Iterative characteristic ridge extraction for bearing fault detection under variable rotational speed conditions. ISA Transactions, 2021.

L. He, Y. Li*, Y. Liu, et al. Minimum correlated generalized Lp/Lq deconvolution for recovering repetitive impacts from a vibration mixture. IEEE Sensors Journal, 2021, 21(2): 2043-2054.

Y. Li, X. Liang, Y. Chen, et al. Wheelset bearing fault detection using morphological signal and image analysis. Structural Control and Health Monitoring, 2020, 27: e2619, 15pp.

Y. Li, M. Zuo, Z. Chen, et al. Railway bearing and cardan shaft fault diagnosis via an improved morphological filter. Structural Health Monitoring, 2020, 19(5): 1471-1486.

Y. Li, X. Liang, J. Lin, et al. Train axle bearing fault detection using a feature selection scheme based multi-scale morphological filter. Mechanical Systems and Signal Processing, 2018, 101: 435-448.

Y. Li, M. Zuo, Y. Chen, et al. An enhanced morphology gradient product filter for bearing fault detection. Mechanical Systems and Signal Processing, 2018, 109:166-184.

Y. Li, X. Liang, W. Liu, et al. Development of a morphological convolution operator for bearing fault detection. Journal of Sound and Vibration, 2018, 421: 220-233.

Y. Li, M. Zuo, J. Lin, et al. Fault detection method for railway wheel flat using an adaptive multiscale morphological filter. Mechanical Systems and Signal Processing, 2017, 84:642-658.

Y. Li, X. Liang, M. Zuo. Diagonal slice spectrum assisted optimal scale morphological filter for rolling element bearing fault diagnosis. Mechanical Systems and Signal Processing, 2017, 85:146-161.

Y. Li, X. Liang, M. Zuo. A new strategy of using a time-varying structure element for mathematical morphological filtering. Measurement, 2017, 106: 53-65.

TEACHING

Primary Teaching areas

Measurement

Control

Current Courses

Fundamentals of Mechanical Measurement Technology

Principles of Automatic Control