Research Output

Transient diagnosis of induction generators via atom-based time-frequency transforms

  Induction generators used in windmills usually work in non-stationary conditions, due to the varying speed of the wind. Therefore, in order to perform its diagnosis through the stator current analysis, adequate time-frequency transforms must be used. Discrete Wavelet Transform succeeds detecting the highest amplitude sideband harmonic caused by asymmetries. Nevertheless, it fails with the rest of faulty components. This paper proposes the use of a continuous time-frequency transform. It avoids the cross-terms introduced by the Wigner Ville Distributions. Moreover, it obtains the right time-frequency resolution needed in each zone of the plane, without the Short Time Fourier Transform or the Continuous Wavelet Transform restrictions. The proposed methodology is defined and experimentally validated: up to four faulty components are detected when diagnosing stator and rotor asymmetries.

  • Date:

    30 September 2014

  • Publication Status:

    Published

  • Publisher

    Institute of Electrical & Electronics Engineers (IEEE)

  • DOI:

    10.1109/icelmach.2014.6960426

  • Library of Congress:

    TK Electrical engineering. Electronics Nuclear engineering

  • Dewey Decimal Classification:

    621.3 Electrical & electronic engineering

  • Funders:

    Ministerio de Ciencia e Innovación

Citation

Pons-Llinares, J., Riera-Guasp, M., Antonino-Daviu, J. A., & Vedreno-Santos, F. (2014). Transient diagnosis of induction generators via atom-based time-frequency transforms. doi:10.1109/icelmach.2014.6960426

Authors

Keywords

Fault diagnosis, induction generator, monitoring, load fluctuating conditions, signal analysis, matching pursuit, time-frequency analysis, transient analysis, wavelet transforms, wind generator

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