硕士生导师
个人信息Personal Information
学历：博士研究生毕业
学位：工学博士学位
办公地点：牵引红楼313
性别：男
所在单位：轨道交通运载系统全国重点实验室
报考该导师研究生的方式
欢迎你报考叶运广老师的研究生，报考有以下方式：
1、参加西南交通大学暑期夏令营活动，提交导师意向时，选择叶运广老师，你的所有申请信息将发送给叶运广老师，老师看到后将和你取得联系，点击此处参加夏令营活动
2、如果你能获得所在学校的推免生资格，欢迎通过推免方式申请叶运广老师研究生，可以通过系统的推免生预报名系统提交申请，并选择意向导师为叶运广老师，老师看到信息后将和你取得联系，点击此处推免生预报名
3、参加全国硕士研究生统一招生考试报考叶运广老师招收的专业和方向，进入复试后提交导师意向时选择叶运广老师。
4、如果你有兴趣攻读叶运广老师博士研究生，可以通过申请考核或者统一招考等方式报考该导师博士研究生。
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一、轨道车辆服役安全监测代表性论文
[1] Ye Y*, Li H, Wang Q, Li F, Yi C, Peng X, Huang C, Zeng J. Fault diagnosis of railway wheelsets: A review[J]. Measurement, 2025, 242: 116169.
[2] Li H, Wang Y, Zeng J, Li F, Yang Z, Mei G, Gao H, Ye Y*. Fusing binocular vision and deep learning to detect dynamic wheel-rail displacement of high-speed trains[J]. Mechanical Systems and Signal Processing, 2025, 223: 111832.
[3] Ye Y*, Li H, Li F, Gao H, Mei G, Dai H, Wu P, Zeng J. Online assessment of train hunting stability by monitoring dynamic wheel-rail displacement: why and how?[J]. Nonlinear Dynamics, 2024, 112: 11993-12017.
[4] Li H, Wang Y, Zeng J, Li F, Yang Z, Mei G, Ye Y*. Virtual point tracking method for online detection of relative wheel-rail displacement of railway vehicles[J]. Reliability Engineering & System Safety, 2024, 246: 110087.
[5] Ye Y*, Huang C, Zeng J, Zhou Y, Li F. Shock detection of rotating machinery based on activated time-domain images and deep learning: An application to railway wheel flat detection[J]. Mechanical Systems and Signal Processing, 2023, 186: 109856.
二、轮轨动力学代表性论文
[1] Song C, Tao Z, Li D, Qu S, Wei L, Huang C, Dai H, Ye Y*. Formation mechanism of high-order wheel polygonization of high-speed trains in China: a decade-long debate[J]. Wear, 2025, 578-579: 206209.
[2] Tao Z, Li D, Wei L, Ma C, Qu S, Huang C, Gao H, Zhu B, Dai H, Ye Y*. Influence of high-frequency vibration-absorbing fasteners on suppressing localized rail bending modal vibration[J]. Railway Engineering Science, 2025.
[3] Ye Y*, Huang C, Zeng J, Wang S, Liu C, Li F. Predicting railway wheel wear by calibrating existing wear models: Principle and application[J]. Reliability Engineering & System Safety, 2023, 238: 109462.
[4] Ye Y, Huang P*, Sun Y, Shi D. MBSNet: A deep learning model for multibody dynamics simulation and its application to a vehicle-track system[J]. Mechanical Systems and Signal Processing, 2021, 157: 107716.
[5] Ye Y*, Shi D, Krause P, Tian Q, Hecht M. Wheel flat can cause or exacerbate wheel polygonization[J]. Vehicle System Dynamics, 2019, 58(10): 1575–1604.
- Song C, Tao Z, Li D, Qu S, Wei L, Huang C, Dai H, Ye Y*. Formation mechanism of high-order wheel polygonization of high-speed trains in China: a decade-long debate[J]. Wear, 2025, 578-579: 206209.
- Li D, Ye Y, Li F, Wang Q, Tao Z, Wei L, Shi H, Qu S, Dai H*. A model-based method for wheel out-of-roundness detection considering rail flexibility and multi-wheel interaction[J]. Mechanical Systems and Signal Processing, 2025, 233: 112745.
- Tao Z, Li D, Wei L, Ma C, Qu S, Huang C, Gao H, Zhu B, Dai H, Ye Y*. Influence of high-frequency vibration-absorbing fasteners on suppressing localized rail bending modal vibration[J]. Railway Engineering Science, 2025.
- Huang C*, Ye Y, Zeng J, Song C. Stability assessment of railway vehicles considering undefined nonlinearity in static force–velocity characteristics of hydraulic yaw dampers[J]. Vehicle System Dynamics, 2024.
- Zhu T, Ren Y, Shi H, Ye Y, Feng P, Su Z, Yao C, Ma G*. Wheel-rail force inversion via transfer learning-based residual LSTM neural network with temporal pattern attention mechanism[J]. Mechanical Systems and Signal Processing, 2025, 224: 112135.
- Ye Y*, Li H, Wang Q, Li F, Yi C, Peng X, Huang C, Zeng J. Fault diagnosis of railway wheelsets: A review[J]. Measurement, 2025, 242: 116169.
- 国家自然科学基金委员会, 联合基金项目, U2468227, 极端环境下时速400公里及以上高速列车动力学 行为、安全控制及监测诊断方法研究, 2025-01 至 2028-12, 256万元, 参与
- 四川省科技厅, 青年科学基金项目, 2024NSFSC0900, 基于电机电流特征的服役环境动车组传动系统非侵入式振动监测, 2024-01 至 2025-12, 10万元, 参与
- 中国博士后科学基金会, 博士后科学基金特别资助项目, 2023T160546, 川藏铁路列车脱轨安全性的计算机视觉检测与评价方法研究, 2023-07 至 2025-06, 18万元, 主持
- 轨道交通运载系统全国重点实验室, 自主课题, 2023TPL-T14, 高速列车蛇行运动计算机视觉检测方法, 2023-01 至 2025-12, 20万元, 主持
- 国家自然科学基金委员会, 联合基金项目, U2268211, 高速动车组长期服役广域适应性悬挂主动控制研究, 2023-01 至 2026-12, 241万元, 参与
- 四川省科技厅, 青年科学基金项目, 2023NSFSC0900, 川藏铁路列车蛇行运动稳定性的计算机视觉检测与评价方法研究, 2023-01 至 2024-12, 10万元, 主持