• DocumentCode
    3760455
  • Title

    Fault diagnosis of wind turbine´s converter based with SOM net

  • Author

    Xiaobo Zhang;Baohui Zhang

  • Author_Institution
    School of Electrical Engineering, Xi´an Jiaotong University, Xi´an, China
  • fYear
    2015
  • Firstpage
    1915
  • Lastpage
    1918
  • Abstract
    Nowadays, most provinces of China like Xinjiang, Gansu, Ningxia, Inner Mongolia, Zhejiang, Heilongjiang, Jiangsu, Guangdong are constructing windfarms on a large scale. After all these windfarms are completed, the maintenance of them is very commercially valuable. Therefore, a fault diagnosis system of wind turbine´s converter is studied in this paper on the basis of Xinjiang´s windfarm. Firstly, the structure of wind turbine and converter are introduced, and the reasons of converter´s faults are analysed in this paper. SOM net was used to diagnose wind turbine converter´s fault and it´s effect was verified by using data. This paper combine traditional fault diagnosis technology of power electronics´ device with the fault diagnosis technology of xinjiang wind turbine´s converter in a creative way, and it can have some active effect on using wind power largely.
  • Keywords
    "Wind turbines","Fault diagnosis","Wind power generation","Circuit faults","Wind farms","Training","Generators"
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015 5th International Conference on
  • Type

    conf

  • DOI
    10.1109/DRPT.2015.7432586
  • Filename
    7432586