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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/9936

    Título
    Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations
    Autor
    Bonet Jara, Jorge
    Fernández Cavero, VanesaAutoridad UBU Orcid
    Vedreno Santos, Francisco
    Morinigo Sotelo, Daniel
    Pons Llinares, Joan
    Publicado en
    IEEE Transactions on Industry Applications. 2024, V. 60, n. 3, p. 3903-3911
    Editorial
    Institute of Electrical and Electronics Engineers
    Fecha de publicación
    2024-02
    ISSN
    0093-9994
    DOI
    10.1109/TIA.2024.3371393
    Résumé
    Induction motors work under steady-state in many applications. Nevertheless, in some cases they experience periodic load fluctuations, which generate constant frequency harmonics close to variable frequency bar breakage harmonics. In these cases, time-frequency (t-f) transforms are better suited than steady-state analysis since the fault harmonic frequencies change in time. Even if the healthy and faulty frequencies do not overlap in the spectrum, if the speed is unknown, it is difficult to distinguish the constant frequency healthy harmonic from the variable frequency bar breakage harmonic. On the other hand, transient techniques present in technical literature are not precise enough to deal with both the changing frequency of the bar breakage harmonic and a close constant frequency (as the one generated by most of the periodic load fluctuations). To achieve reliable results under these challenging situations, a very precise time-frequency transform must be used, enabling to simultaneously draw the constant and variable frequencies, even if they are very close in the t-f plane. The Dragon-Transform is here proposed to address the problem. It is shown through simulation and experimental results, how it enables to very accurately plot up to five faulty harmonics evolutions, distinguishing at the same time the constant frequency of the load oscillation, traced as a very thin horizontal line. Precision is so high that even the oscillations caused by ripple effect can be observed for the first time in technical literature, enhancing the reliability of the diagnosis performed, and opening the path for a true solution of the problem.
    Palabras clave
    Induction motors
    Load oscillations
    Signal analysis
    Time-frequency transforms
    Fault diagnosis
    Materia
    Electrotecnia
    Electrical engineering
    Ingeniería mecánica
    Mechanical engineering
    URI
    http://hdl.handle.net/10259/9936
    Versión del editor
    https://doi.org/10.1109/TIA.2024.3371393
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