Associate Professor

Supervisor of Master's Candidates

Personal Information

  • Date of Employment: 2023-09-13
  • Education Level: PhD graduate
  • Degree: Doctor of engineering
  • Business Address: 机车车辆系306
  • Gender: Male
  • Status: 在岗
  • Alma Mater: 西南交通大学
  • School/Department: School of Mechanical Engineering
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    Home > Research > Paper Publications

    Physical fault testing and hybrid intelligent diagnosis of high-speed train secondary suspension systems based on time-frequency networks and sparse attention-enhanced transformers

    Journal:Engineering Applications of Artificial Intelligence
    Indexed by:SCI
    Translation or Not:no
    Included Journals:SCI
    Links to published journals:https://www.sciencedirect.com/science/article/pii/S0952197626018269