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Non-destructive Evaluation of the Condition of a UAV´s Propellers by means of Acoustics

Soria Gomez, Maria und Koschlik, Ann-Kathrin und Arts, Emy und Raddatz, Florian (2022) Non-destructive Evaluation of the Condition of a UAV´s Propellers by means of Acoustics. In: Proceedings of SPIE - The International Society for Optical Engineering. SPIE Smart Structures and Nondestructive Evaluation, 2022-03-06 - 2022-03-09, Long Beach, USA. doi: 10.1117/12.2612770. ISBN 978-151064973-6. ISSN 0277-786X.

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Offizielle URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12049/2612770/Non-destructive-evaluation-of-the-condition-of-a-UAVs-propellers/10.1117/12.2612770.full

Kurzfassung

The ever-increasing usage of multi-copters goes along with the necessity of guaranteeing a safe operation before, during and after the flight. As of today, Maintenance, Repair and Operations (MRO) aspects are not sufficiently considered, however, they will quickly gain importance as UAV operation becomes more professional, more frequent and more competitive. The key element of the UAV's propulsion system are the propellers, which tend to be easily damaged by strikes or during the handling of the vehicles. The consequence is a reduced thrust and higher vibration, stressing the system as well as reducing its performance. Since the main source of sound is the propulsion system, we propose the use of acoustics as a means to detect damaged or imbalanced propellers at an early stage and without impairing UAV operation. In this paper, we present the concept for such non-destructive testing of a multi-copter. The fault diagnosis aims at identifying different system conditions such as an undamaged reference and an impaired propeller. The method is based on a machine learning algorithm with a neural network architecture. A prototype based on the structure of a single propeller is designed for a first experimental approach and the generation of data. In order to identify relevant features, this set-up is used to systematically explore the impact of recording procedures and setups on a successful diagnosis. Pertinent time and frequency domain features are then analyzed and the most promising ones are identified. From the results obtained, rules are derived for the implementation of an acoustic monitoring system for UAVs.

elib-URL des Eintrags:https://elib.dlr.de/185826/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Non-destructive Evaluation of the Condition of a UAV´s Propellers by means of Acoustics
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Soria Gomez, MariaMaria.Soria (at) dlr.dehttps://orcid.org/0000-0003-3935-7253NICHT SPEZIFIZIERT
Koschlik, Ann-KathrinAnn-Kathrin.Koschlik (at) dlr.dehttps://orcid.org/0000-0002-7958-0735NICHT SPEZIFIZIERT
Arts, EmyEmy.Arts (at) dlr.dehttps://orcid.org/0000-0001-5496-5316NICHT SPEZIFIZIERT
Raddatz, FlorianFlorian.Raddatz (at) dlr.dehttps://orcid.org/0000-0002-0660-7650NICHT SPEZIFIZIERT
Datum:2022
Erschienen in:Proceedings of SPIE - The International Society for Optical Engineering
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.1117/12.2612770
ISSN:0277-786X
ISBN:978-151064973-6
Status:veröffentlicht
Stichwörter:acoustics, UAV, propeller, autoencoder, mel-spectrogram
Veranstaltungstitel:SPIE Smart Structures and Nondestructive Evaluation
Veranstaltungsort:Long Beach, USA
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:6 März 2022
Veranstaltungsende:9 März 2022
Veranstalter :SPIE
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Komponenten und Systeme
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L CS - Komponenten und Systeme
DLR - Teilgebiet (Projekt, Vorhaben):L - Wartung und Kabine
Standort: Hamburg
Institute & Einrichtungen:Institut für Instandhaltung und Modifikation > Prozessoptimierung und Digitalisierung
Hinterlegt von: Soria Gomez, Maria
Hinterlegt am:02 Mai 2022 07:07
Letzte Änderung:24 Apr 2024 20:47

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