Associate Professor

HUA Chunrong

Associate Professor

Email:hcrong@swjtu.cn

Office: Jixie Building,Jiuli Campus

CV: https://faculty.swjtu.edu.cn/huachunrong/en/index.htm


BIO

Education

PhD, Southwest Jiaotong University, Mechatronic Engineering(2011)

M.A., Xihua University, Automobile Engineering (2001)

B.S., Xihua University, Automobile Engineering (1998)


Employment

Academic Appointments

Associate Professor,School of Mechanical Engineering,Southwest Jiaotong University, China (2011-present)

Lecturer, School of Mechanical Engineering, Southwest Jiaotong University, China (2003-2011)


Research Interests

Intelligent State Monitoring  and Fault Diagnosis  

Vehicle System Dynamics

Vehicle Vibration and Noise Control


SELECTED PUBLICATIONS

Principal Publications of the Last Five Years

Zhao W , Hua C* , Dong D and Ouyang H. A Novel Method for Identifying Crack and Shaft Misalignment Faults in Rotor Systems under Noisy Environments Based on CNN[J]. Sensors, 2019, 19(23):5158.

Hua C* , Zhao Y , Lu Z and Ouyang H. Random vibration of vehicle with hysteretic nonlinear suspension under road roughness excitation[J]. Advances in Mechanical Engineering, 2018, 10(1):168781401775122.

Wang D , Hua C* , Dong D and He B. Crack Parameters Identification Based on a Kriging Surrogate Model for Operating Rotors[J]. Shock and Vibration, 2018, 2018(1):1-12.

Lu Z , Dong D , Ouyang H , Cao S and Hua C*. Localization of breathing cracks in stepped rotors using super-harmonic characteristic deflection shapes based on singular value decomposition in frequency domain[J]. Fatigue & Fracture of Engineering Materials & Structures, 2017, 40(11).

Hua C* , Zhang Y , Dong D , Yan B and Ouyang H. Aerodynamic noise numerical simulation and noise reduction study on automobile alternator[J]. Journal of Mechanical Science & Technology, 2017, 31(5):2047-2055.



RESEARCH

Current Research

Study on the online quantitative monitoring method of crack in high speed train axle based on surrogate model under the bending-torsional coupled excitation

Key technology of self-driving car based on binocular vision

Vibration control and state monitoring of the suspension system for a power pack


TEACHING

Primary Teaching areas

Vehicle Engineering

Energy and Power Engineering


Current Courses

Vibration and Control

Automobile System Dynamics

Modern Engineering Signal Processing



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