• DocumentCode
    2613832
  • Title

    Wind turbine condition monitoring and fault diagnosis using both mechanical and electrical signatures

  • Author

    Yang, Wenxian ; Tavner, P.J. ; Wilkinson, Michael

  • Author_Institution
    Sch. of Mech., Northwestern Polytech. Univ., Xian
  • fYear
    2008
  • fDate
    2-5 July 2008
  • Firstpage
    1296
  • Lastpage
    1301
  • Abstract
    Some large wind turbines use a synchronous generator, directly-coupled to the turbine, and a fully rated converter to transform power from the turbine to the mains. This paper considers condition monitoring and diagnosis of mechanical and electrical faults in such a variable speed machine. A new condition monitoring technique is proposed in this paper, which removes the negative influence of variable wind in machine condition monitoring. This technique has a versatile function, able to detect both the mechanical and electrical faults in the wind turbine. Its effectiveness is validated by the experiments on a wind turbine condition monitoring test rig. Furthermore, a potential approach for diagnosing wind turbine drive-train mechanical faults using wind turbine generator electrical signals is introduced. The diagnosis of rotor imbalance in the wind turbine will be used as an illustrative example, heralding the detection of wind turbine electromechanical faults by power analysis. The paper offers a simpler and cheaper condition monitoring and fault diagnosis system for wind turbines.
  • Keywords
    condition monitoring; drives; fault diagnosis; rotors; turbogenerators; wind turbines; electrical signatures; fault diagnosis; mechanical signatures; rotor imbalance; variable speed machine; wind turbine condition monitoring; wind turbine drive-train mechanical faults; wind turbine generator electrical signals; Condition monitoring; Dynamic range; Electrical fault detection; Fault diagnosis; Power generation economics; Signal generators; Synchronous generators; Testing; Wind energy generation; Wind turbines; condition monitoring; fault diagnosis; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics, 2008. AIM 2008. IEEE/ASME International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-1-4244-2494-8
  • Electronic_ISBN
    978-1-4244-2495-5
  • Type

    conf

  • DOI
    10.1109/AIM.2008.4601849
  • Filename
    4601849