Abstract The paper presents the possibility of using neural networks in the detection of stator and rotor electrical faults of induction motors. Fault detection and identification are based on the analysis of symptoms obtained from the fast Fourier transform of the voltage induced by an axial flux in a measurement coil. Neural network teaching and testing were performed in a MATLAB–Simulink environment. The effectiveness of various neural network structures to detect damage, its type (rotor or stator damage) and damage levels (number of rotor bars cracked or stator winding shorted circuits) is presented.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Application of Neural Networks and Axial Flux for the Detection of Stator and Rotor Faults of an Induction Motor


    Beteiligte:
    Ewert, Paweł (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2019




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch


    Klassifikation :

    BKL:    53.35 Stromrichter, Transformatoren / 53.33$jElektrische Maschinen und Antriebe / 53.33 Elektrische Maschinen und Antriebe / 53.35$jStromrichter$jTransformatoren



    Diagnostic System for Induction Motor Stator Winding Faults Based on Axial Flux

    Wolkiewicz, Marcin / Skowron, Maciej | Online Contents | 2017



    Dual Independent Rotor Axial Flux Induction Motor for Electric Vehicle Applications

    Alireza Hesari / Ahmad Darabi / Fazel Pourmirzaei Deylami | DOAJ | 2024

    Freier Zugriff

    ROTOR INTEGRATED AXIAL FLUX ELECTRIC MOTOR

    MERRITT BRENT J / KILCHYK VIKTOR | Europäisches Patentamt | 2024

    Freier Zugriff

    ROTOR INTEGRATED AXIAL FLUX ELECTRIC MOTOR

    KILCHYK VIKTOR / MERRITT BRENT J | Europäisches Patentamt | 2024

    Freier Zugriff