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Current signature analysis and its application in the condition monitoring of wind turbine for rotor faults

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Abstract

This paper proposes a condition monitoring technique using current signature analysis for diagnosis of Rotor eccentricity fault in Squirrel cage induction generators used in wind power systems. The proposed method measures the current characteristic frequencies of the excitations generated by a Wind turbine generator. The excitations generated by wind turbine generator eccentricity fault are extracted and analyzed under no load, full load and varying wind conditions. Side bands are calculated using FFT approach. Fault frequencies are further analyzed using wavelet-based analysis for steady state and dynamic conditions. Multi-resolution mean power indicator has been used for the quantification of the fault. It has been experimentally proven that for varying wind conditions wavelet decomposition allows good differentiation between faulty and healthy conditions leading to an effectual diagnostic procedure for condition monitoring.

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Authors and Affiliations

  1. Department of Electrical Engineering, National Institute of Technology, Kurukshetra, India

    Himani Garg & Ratna Dahiya

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  1. Himani Garg
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  2. Ratna Dahiya
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Correspondence to Himani Garg.

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Garg, H., Dahiya, R. Current signature analysis and its application in the condition monitoring of wind turbine for rotor faults. Energy Syst 8, 495–510 (2017). https://doi.org/10.1007/s12667-016-0208-6

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  • DOI: https://doi.org/10.1007/s12667-016-0208-6

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