Fang Ruiming

Doctoral Degree in Engineering

博士研究生

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Personal Information

Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates

  • Gender:Male
  • Date of Birth:1972-08-05
  • Education Level:博士研究生
  • Degree:Doctoral Degree in Engineering
  • Date of Employment:2002-11-01
  • School/Department:信息科学与工程学院
  • Business Address:华侨大学机电信息实验大楼B439室
  • E-Mail:
  • Status:在岗
  • Administrative Position:科学技术研究处处长
  • Discipline:intelligent manufacture
    Control Theory and Engineering
    Electrical Machines and Apparatus

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    Home > Scientific Research > Paper Publications

    Identifying early defects of wind turbine based on SCADA data and dynamical network marker

    Release time:2026-03-13 Hits:

    Journal:Renewable Energy
     Indexed by:Journal paper
     Volume:154
     Page Number:625-635
     Translation or Not:no
     Date of Publication:2020-06-16
     DOI number:10.1016/j.renene.2020.03.036
     Impact Factor:9.1
     First Author:Fang Ruiming

    Pre One:Life cycle cost assessment of wind power-hydrogen coupled integrated energy system

    Next One:Early Warning and Identification of Wind Turbine Faults Based on Temporal Network Flow Entropy

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