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Selecting time-frequency representations for detecting rotor faults in BLDC motors operating under rapidly varying operating conditions

Abstract:

Electric motors work continuously under operating conditions that rapidly vary with time. Motor diagnostics in a non-stationary environment is challenging due to the need for sophisticated signal processing techniques. In this paper, the use of quadratic TFRs is presented as a solution for the diagnostics of rotor faults in Brushless DC (BLDC) motors operating under constantly changing load and speed conditions. Four time-frequency representations are considered in this paper - short-time Fourier transform (STFT), Wigner-Ville distribution (WVD), Choi-Williams Distribution (CWD), and the Zhao-Atlas Marks Distribution (ZAM). The drawbacks of these distributions and methods to overcome them are also presented. The TFRs are implemented in real-time and their load computations are compared in order to study their suitability for implementation in a commercial system. © 2005 IEEE.

Año de publicación:

2005

Keywords:

    Fuente:

    scopusscopus
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    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Ingeniería mecánica

    Áreas temáticas:

    • Física aplicada

    Contribuidores:

    Habetler T.G.Habetler T.G.
    Harley R.G.Harley R.G.
    J. M. AllerJ. M. Aller
    José Manuel Aller CastroJosé Manuel Aller Castro
    Jose Alex RestrepoJose Alex Restrepo
    Rajagopalan S.Rajagopalan S.