IDEAS home Printed from https://ideas.repec.org/a/gam/jdataj/v9y2024i6p79-d1413732.html
   My bibliography  Save this article

CrazyPAD: A Dataset for Assessing the Impact of Structural Defects on Nano-Quadcopter Performance

Author

Listed:
  • Kamil Masalimov

    (Department of Automation of Technological Processes, Ufa University of Science and Technology, 450076 Ufa, Russia)

  • Tagir Muslimov

    (Department of Automation of Technological Processes, Ufa University of Science and Technology, 450076 Ufa, Russia)

  • Evgeny Kozlov

    (Department of Automation of Technological Processes, Ufa University of Science and Technology, 450076 Ufa, Russia)

  • Rustem Munasypov

    (Department of Automation of Technological Processes, Ufa University of Science and Technology, 450076 Ufa, Russia)

Abstract

This article presents a novel dataset focused on structural damage in quadcopters, addressing a significant gap in unmanned aerial vehicle (UAV or drone) research. The dataset is called CrazyPAD (Crazyflie Propeller Anomaly Data) according to the name of the Crazyflie 2.1 nano-quadrocopter used to collect the data. Despite the existence of datasets on UAV anomalies and behavior, none of them covers structural damage specifically in nano-quadrocopters. Our dataset, therefore, provides critical data for developing predictive models for defect detection in nano-quadcopters. This work details the data collection methodology, involving rigorous simulations of structural damages and their effects on UAV performance. The ultimate goal is to enhance UAV safety by enabling accurate defect diagnosis and predictive maintenance, contributing substantially to the field of UAV technology and its practical applications.

Suggested Citation

  • Kamil Masalimov & Tagir Muslimov & Evgeny Kozlov & Rustem Munasypov, 2024. "CrazyPAD: A Dataset for Assessing the Impact of Structural Defects on Nano-Quadcopter Performance," Data, MDPI, vol. 9(6), pages 1-18, June.
    • Handle: RePEc:gam:jdataj:v:9:y:2024:i:6:p:79-:d:1413732
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2306-5729/9/6/79/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2306-5729/9/6/79/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jdataj:v:9:y:2024:i:6:p:79-:d:1413732. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.