Diagnostics of unmanned aerial vehicle with recurrence based approach of piezo-element voltage signals.
Damage calibration
Electric motor failure
Mechanical vibrations
Piezoelectric sensor
Recurrence analysis
Unmanned aerial vehicle
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
26 Jul 2024
26 Jul 2024
Historique:
received:
12
10
2023
accepted:
22
07
2024
medline:
27
7
2024
pubmed:
27
7
2024
entrez:
26
7
2024
Statut:
epublish
Résumé
This work experimentally addresses damage calibration of an unmanned aerial vehicle in operational condition. A wide range of damage level and types are simulated and controlled by an electric motor via pulse width modulation in this regard. The measurement is carried out via established protocols of using a piezo-patch on one of the 8 arms, utilising the vibration sensitivity and flexibility of the arms, demonstrating repeatability of such protocol. Subsequently, recurrence analysis on the voltage time series data is performed for detection of damage. Quantifiers of damage extent are then created for the full range of damage conditions, including the extreme case of complete loss of power. Experimental baseline condition for no damage condition is also established in this regard. Both diagonal-line and vertical-line based indicators from recurrence analysis are sensitive to the quantitative estimates of damage levels and a statistical test of significance analysis confirms that it is possible to automate distinguishing the levels of damage. The damage quantifiers proposed in this paper are useful for rapid monitoring of unmanned aerial vehicle operations of connection.
Identifiants
pubmed: 39060427
doi: 10.1038/s41598-024-68197-x
pii: 10.1038/s41598-024-68197-x
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
17211Subventions
Organisme : Ministerstwo Edukacji i Nauki
ID : MEiN/2022/DPI/2575
Organisme : Ministerstwo Edukacji i Nauki
ID : WZ/WM-IIM/2/2022
Informations de copyright
© 2024. The Author(s).
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