Background of Education and Work Experience

Teacher of Mechanical Engineering, Chongqing University, October, 2009-Present.

Visiting scholar, School of mechanical engineering, National University of Singapore, August 2013 to October 2013

Visiting scholar, School of mechanical engineering, University of Rome, June 2013 to July 2013

Visiting scholar, School of mechanical and mining engineering, University of Queensland, June 2013 to July 2013

Teacher of Mechanical Engineering, Chongqing Univerity, October, 2009-Present.

Ph.D in Mechanical Engineering, Chongqing University, Chongqing, China, 2004-2007

MS in Mechanical Engineering, Chongqing University, Chongqing, China, 2002-2004

BS in Mechanical Engineering, Chongqing University, Chongqing, China, 1998-2002

Research Field

• Fault prediction and intelligent maintenance of equipment system, fatigue degradation analysis and life prediction of key components；

• Engineering signal processing and information mining, big data processing and deep learning;

• Structural health monitoring and ultrasonic guided wave structural damage detection;

• Intelligent measurement and high precision instrument system.

   

Research and Honors

[1]Liu X , Wang B , Ai F , et al. Evaluation of Matrix Cracking in Composite Laminates based on Anomaly Indices[J]. International Journal of Fatigue, 2020, 140:105841.

[2]Liu, Xiaofeng; Bo, Lin, Identification of resonance states of rotor-bearing system using RQA and optimal binary tree SVM, Neurocomputing, 2015.3.25, 152：36~44.

[3]Liu, Xiaofeng ; Bo, Lin; Wang, Li; Peng, Yongjing, Measurement and analysis of wind turbine blade mechanical load, Journal of Renewable and Sustainable Energy, 2015.1, 7(1)：0~013101.（

[4]Liu, Xiaofeng ; Bo, Lin; Luo, Honglin, Bearing faults diagnostics based on hybrid LS-SVM and EMD method, Measurement, 2015.1, 59：145~166.

[5]Xiaofeng Liu; Lin Bo; Hongling Luo, Dynamical measurement system for wind turbine fatigue load, Renewable Energy, 2016.1.20, 86：909~92[6]Liu, Xiaofeng; Bo, Lin; Luo, Honglin, Directional adaptive kernel distribution and its application，IET Signal Processing, 2017.06, 11(4)：387~395.

[7]Liu, Xiaofeng; Bo, Lin; Hu, Ning etc. Location identification of closed crack based on Duffing oscillator transient transition, Mechanical Systems and Signal Processing, 2018.02.1, 100：384~397.

[8]Liu, Xiaofeng; Bo, Lin; Hu, Ning, et al. Detection of micro-cracks using nonlinear lamb waves based on the Duffing-Holmes system, Journal of Sound and Vibration, 2017.09.29, 405：175~186.

[9]Liu, Xiaofeng; Bo, Lin; Luo, Honglin, Smoothing localized directional cyclic autocorrelation and application in oil-film instability analysis, Journal of Sound and Vibration, 2016.04.28, 368：191~201.

[10]Liu, Xiaofeng, Bo, Lin; Yang, Kangjun, etc. Locating and imaging contact delamination based on chaotic detection of nonlinear Lamb waves, Mechanical Systems and Signal Processing, 2018.09.1, 109：58~73.

[11]. Liu, Xiaofeng; Bo, Lin; Luo Hongling, Directional cyclic demodulation with application to identification of rotor oil-film instability fault coupled with rub-impact, IET Science Measurement & Technology, 2018.07, 12(4)：567~574.

[12]. Li, Hui; Liu, Xiaofeng; Bo, Lin, A novel method to analysis strong dispersive overlapping lamb-wave signatures, Journal of Vibroengineering, 2017.02, 19(1)：641~656.

[13]. Li, Hui ; Liu, Xiaofeng; Bo, Lin,Fault Identification of Rotor System Based on Classifying Time-Frequency Image Feature Tensor, International Journal of Rotating Machinery, 2017, 2017：0~6542348.