教育背景
2018-09 至 2023-06, 北京交通大学, 统计学, 博士
2014-09 至 2018-06, 北京交通大学, 通信工程, 学士
工作经历
2023-11 至 今, 北京交通大学, 自动化与智能学院, 讲师
2023-07 至 2023-10, 北京交通大学, 电子信息工程学院, 讲师
科研项目
主持项目、课题:
国家自然科学基金“青年科学基金(C类)”:融合Fisher熵和鞅差相关理论的转向架轴承早期微弱故障诊断
国家重点研发计划-任务:铁路基础设施智能施工装备故障诊断技术研究
国铁集团科技开发计划课题:基于列车智能诊断的自主决策方法研究
国铁集团科技开发计划课题:极端环境下轨道电路故障诊断与状态预测方法及关键技术研究
自然科学类人才基金项目:复杂高维信号的多尺度鞅差距离相关性及其在高速铁路钢轨波磨诊断中的应用
参与项目:
国家自然科学基金“联合基金项目” :面向运输效能提升的重载铁路群组控制理论与关键技术
国家自然科学基金“联合基金项目” :面向高铁列车客运服务的边缘计算应用安全保障技术研究
论文/期刊
A novel clustering method for
complex signals and feature extraction based on advanced
information-based dissimilarity measure.Expert Systems With
Applications,2024,无(238)
Wear diagnosis
for rail profile data using a novel multidimensional scaling clustering
method.Computer-Aided Civil and Infrastructure Engineering,2024,19(39)
Distributed adaptive
coordinative control for virtually coupled train set with considering
parametric uncertainty and state constraints.Vehicle System
Dynamics,2024,无(无)
Fault
Diagnosis for Rail Profile Data Using Refined Dispersion Entropy and
Dependence Measurements.IEEE Transactions on Intelligent Transportation
Systems,2024,9(25)
A novel and effective method for
characterizing time series correlations based on martingale difference
correlation.Chaos,2024,10(34)
The Fractional DisEn-Fisher plane: An effective approach to distinguish complex time series.Fractals,2024,0218-348X(5)
An improved nonlinear correlation method for feature selection of complex data.Nonlinear Dynamics,2023,12(111)
The dependence index based on
martingale difference correlation: An efficient tool to distinguish
different complex systems.Expert Systems With Applications,2023,无(213)
A novel clustering method for
complex signals and feature extraction based on advanced
information-based dissimilarity measure.Expert Systems With
Applications,2023,无(238)
Integrated train
timetable rescheduling after large-scale events for minimizing passenger
waiting time in metro system.ITSC 2024,2024
专利
基于相依性度量的钢轨表面损
伤诊断方法、系统及设备, 2023-6-23, 中国, CN202310212556.6
基于改进离散熵的钢轨表面损
伤识别方法、系统及设备, 2023-6-23, 中国, CN202310234253.4