There has been explosive growth of wind farm installations in recent years due to the fact that wind energy is gaining worldwide popularity. However, the maintenance of these offshore or onshore wind turbines, especially in remote areas, remains a challenging task. In this work, vision-based autonomous wind turbine inspection using a quadrotor is designed based on realistic assumptions. Both simulation and Hardware-In-the-Loop (HIL) testing results have shown the effectiveness of the proposed approach.


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    Titel :

    Autonomous Wind Turbine Inspection using a Quadrotor


    Beteiligte:
    Gu, Weibin (Autor:in) / Hu, Dewen (Autor:in) / Cheng, Liang (Autor:in) / Cao, Yabing (Autor:in) / Rizzo, Alessandro (Autor:in) / Valavanis, Kimon P. (Autor:in)


    Erscheinungsdatum :

    01.09.2020


    Format / Umfang :

    2924385 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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