Research Output

Diagnosis of induction machines under non-stationary conditions: Concepts and tools

  This paper is focused on fault diagnostic
methodologies suited for induction machines which are
subjected to fluctuating loads and speeds during their normal
duty cycle. In these cases, the load and speed fluctuate
continuously, near their rated values, and in a random way;
the diagnosis becomes more complicated than under
stationary regime or under other kind of transients, as the
startup, much intensively studied at the literature, in which
the speed, slip, and current undergo larger variations and
evolve in a predefined way. In the first part of this paper,
different approaches which enable the diagnosis under nonstationary
conditions are introduced from a conceptual
perspective. The second part of this work is devoted to the
practical implementation of the diagnostic approaches
previously introduced: the suitable signal analysis tools needed
for carrying out diverse diagnostic approaches are introduced
in a comprehensive way and supported by experimental
results

  • Date:

    31 March 2013

  • Publication Status:

    Published

  • Publisher

    Institute of Electrical and Electronics Engineers (IEEE)

  • DOI:

    10.1109/wemdcd.2013.6525182

  • Library of Congress:

    TK Electrical engineering. Electronics Nuclear engineering

  • Dewey Decimal Classification:

    621.3 Electrical & electronic engineering

  • Funders:

    Ministerio de Ciencia e Innovación

Citation

Riera-Guasp, M., Pons-Llinares, J., Climente-Alarcon, V., Vedreno-Santos, F., Pineda-Sanchez, M., Antonino-Daviu, J., …Roger-Folch, J. (2013). Diagnosis of induction machines under non-stationary conditions: Concepts and tools. In 2013 IEEE Workshop onhttps://doi.org/10.1109/wemdcd.2013.6525182

Authors

Keywords

fault diagnosis, frequency domain analysis, Hilbert transform, induction machine, non-stationary regime, time domain analysis, time-frequency distributions, wavelet transforms

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