Table · dataset · 2026
Triaxial acceleration data from UAV propeller blades: pre- and post-small-scale tip fracture tests on a custom-built rig (raw signals)
Listed in figshare
<p dir="ltr">This dataset provides raw triaxial acceleration signals (unit: V) from UAV propeller blades tested on a custom-built rig suspended by flexible steel wire ropes.
Description
The sensitivities for the X, Y, and Z axes are 251.75 mV/g, 248.49 mV/g, and 249.90 mV/g, respectively, with the rotational speed held at approximately 3,220 RPM. The data are divided into two groups: Group 1 contains raw triaxial acceleration data from 18 healthy blades, while Group 2 includes remeasured raw triaxial acceleration data from 2 healthy blades (B-7 and B-13) and 5 blades with progressive tip fractures (2, 4, 6, 8, and 10 mm).
This is because the damage evaluation was conducted at a separate time from the initial healthy blade tests. Due to mechanical relaxation of the steel wire ropes and environmental fluctuations, directly comparing Group 2 to the initial Group 1 would introduce systematic errors. Therefore, a dynamic re-baselining strategy was applied, using contemporaneous measurements of B-7 and B-13 to establish an updated reference spectrum.</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.33296838.v2 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
Provenance · 1 source records, 16 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33296838 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |