Wind Turbine Condition Monitoring and Fault Diagnosis using Wavelet Transforms

نویسندگان

  • Wenxian Yang
  • Peter J. Tavner
چکیده

Some large wind turbines use a synchronous generator directly-coupled to the turbine. This paper considers condition monitoring and diagnosis of mechanical and electrical faults in such a variable speed machine. The application of wavelet transforms is investigated because of the disadvantages of conventional spectral techniques in processing instantaneous turbine signals. In this paper a new condition monitoring technique is proposed which removes the negative influence of variable wind in machine condition monitoring. The diagnosis of rotor imbalance in the wind turbine will be done, heralding the detection of wind turbine electromechanical faults by power analysis.

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تاریخ انتشار 2008