Abstract Having in mind the growing interest in Electro-Mechanical actuators and the need for a diagnostic tool to make them even more reliable, this paper will be focused on the creation of a method capable of detecting different failures of a Brushless DC Motor, based on the analysis of the frequency spectrum of its stator current. The analysis has been carried out using the Continuous Wavelet Transform (CWT) and its property to preserve signal energy in the transformed domain was used to detect failures which cause some type of asymmetry in the magnetic flux between rotor and stator. Simulations were carried out using the software Matlab/Simulink®. The obtained results show that one of the cited indexes can be used for failures detection and diagnosis purposes with relevant benefits such as a low computational cost, an easy implementation scheme and a high detection power.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Brushless Dc Motors Failure Detection Using The Continuous Wavelet Transform


    Contributors:

    Published in:

    Publication date :

    2014-07-01


    Size :

    7 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Brushless Dc Motors Failure Detection Using The Continuous Wavelet Transform

    Fico, V. M. / Martin Prats, M. A. / Rodríguez Vazquez, A. L. | Online Contents | 2014



    Robust wavelet neuro control for linear brushless motors

    Lin, C.L. / Shieh, N.C. / Tung, P.C. | IEEE | 2002