cheng yao
Assistant researcher
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- Gender:Male
- Date of Birth:1990-11-01
- Date of Employment:2020-04-23
- Education Level:PhD graduate
- Degree:Doctor of engineering
- Business Address:Room 101, State Key Laboratory of traction power, Jiuli Campus
- Professional Title:Assistant researcher
- Status:在岗
- Alma Mater:Southwest Jiaotong University
- School/Department:State Key Laboratory of Traction Power
- Discipline:Engineering For The Operation of Vehicles

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During my PhD, I studied under Professor Zhang Weihua from Southwest Jiaotong University. I am currently mainly engaged in high-speed train online monitoring and fault diagnosis theory and application research, mainly responsible for temperature big data analysis, vibration signal feature extraction, fault diagnosis and service performance evaluation related to axle box bearing condition monitoring. Some achievements have been made in the research of axle box bearing fault diagnosis and engineering application. I have published 9 SCI search papers in internationally renowned journals such as Journal of Sound and Vibration, ISA Transactions, IEEE Sensors Journal, Proceedings of the Institution of Mechanical Engineers Part O: Journal of Risk and Reliability. In the future, under the background of digitization and intelligence of rail transit equipment, I will continue to conduct research on high-speed train transmission system service status monitoring, fault diagnosis and performance evaluation.
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- 担任《Complex Engineering Systems》、《城市轨道交大》等多个期刊青年编委以及多个SCI期刊客座主编;

1.2009.9-2013.6
Southwest Jiaotong University | Probability Theory and Mathematical Statistics | Bachelor of science | Bachelor degree
2.2013.9-2019.9
Southwest Jiaotong University | Vehicle Operation Engineering | Doctor's degree | PhD graduate

1.2020.4-Now
Southwest Jiaotong University | State Key Laboratory of Traction Power | Associate Professor | 全职

1.Name of Research Group:张卫华教授团队
Description of Research Group:团队目前拥有教授3名,副教授7名,助理教授3名,以及多位专职科研人员,团队负责人张卫华为西南交通大学首席教授,长江学者特聘教授。在轨道车辆方面,团队主要以受电弓和走行部为研究对象,开展轨道装备大数据分析、动力学仿真、健康预测与管理(PHM)等相关研究。