Induction motors play an essential role in industries for their inclusive applications. Their fault detection quite remains a challenge for the researchers by using various optimization techniques. An intelligent method to detect the short-circuit fault in the stator winding of three phase induction motor is proposed in this paper. The short circuit fault constitutes phase to phase short and phase to ground short. The fuzzy logic approach is used to make decisions about the motor condition based on the magnitude of stator current. It detects and classifies the type of fault occurred in the motor. The fault analysis is done using simulation in MATLAB-SIMULINK.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Artificial Intelligence Based Stator Winding Fault Estimation in Three Phase Induction Motor


    Beteiligte:
    Subha, M. (Autor:in) / Kumar, N. Senthil (Autor:in) / Veni, K. S. Krishna (Autor:in)


    Erscheinungsdatum :

    01.03.2018


    Format / Umfang :

    6258802 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Stator Winding-Fault Detection for the Induction Motor Drives

    Aguayo, J. / Claudio, A. / Vela, L.G. et al. | IEEE | 2006


    Sensorless Control Technique of Open-End Winding Five Phase Induction Motor under Partial Stator Winding Short-Circuit

    Khadar, Saad / Kouzou, Abdellah / Rezzaoui, Mohamed Mounir et al. | BASE | 2019

    Freier Zugriff

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

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