DronePropA: Motion Trajectories Dataset for Commercial Drones with Defective Propellers

Contributors: Mohamed AA Ismail, Mohssen E Elshaar, Ayman Abdallah, Quan Quan

1. Description

This data article introduces a comprehensive dataset composed of motion trajectories and flight logs of 130 experimental indoor flights. The faulty propellers involve three fault types for all trajectories: an edge cut, a crack, and a surface cut. In addition, there are three fault severity levels for each type. The first trajectory is a cross shape, where the drone moves back and forth along the diagonals of a 1x1m square. The second trajectory is square-shaped, with the drone following the four edges of a 1x1m square. In the third trajectory, the drone ascends in increments of 0.2m from an altitude of 0.2m to 0.8m, while in the fourth, it climbs directly from 0.2m to 0.8m. Finally, the fifth trajectory involves a yawing maneuver, with the drone rotating by 45, -45, 90, and -90 degrees. The main experiments are conducted on one drone, covering all nine combinations of fault types and severity levels, as well as the healthy condition, at two maximum translational and yawing speeds respectively: (0.33 m/s, 0.52 rad/s) and (2.00 m/s, 3.14 rad/s). Each healthy case is repeated three times. Additionally, two other drones in healthy condition are tested across all trajectories at the maximum speed of (2.00 m/s, 3.14 rad/s). DronePropA is the first batch of flight tests, and additional batches will be published for outdoor conditions and additional fault types.

2. Citation

If you find our dataset is useful, and use our data in your research, please cite it as:

3. Downloads

The files below are restored on Beihang University Yunpan. If you have access to download them directly, please use this download link with a faster speed. Or if you have any problems to download the dataset from the above link, you can download them with Mendeley Data.

NameLinkSizeRemark
DronePropA.zip4.13GBReal experimental indoor flights with faulty propellers

4. Institutions and Funding

King Fahd University of Petroleum and Minerals

Interdisciplinary Research Center for Aviation and Space Exploration, INAE2404

5. Licence

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence, which can also be referred to as CC BY 4.0.