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

Soria Gomez, Maria and Koschlik, Ann-Kathrin and Arts, Emy and 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, 6.-9. März 2022, Long Beach, USA. doi: 10.1117/12.2612770. ISSN 0277-786X.

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Official 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

Abstract

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.

Item URL in elib:https://elib.dlr.de/185826/
Document Type:Conference or Workshop Item (Speech)
Title:Non-destructive Evaluation of the Condition of a UAV´s Propellers by means of Acoustics
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Soria Gomez, MariaMaria.Soria (at) dlr.deUNSPECIFIED
Koschlik, Ann-KathrinAnn-Kathrin.Koschlik (at) dlr.deUNSPECIFIED
Arts, EmyEmy.Arts (at) dlr.deUNSPECIFIED
Raddatz, FlorianFlorian.Raddatz (at) dlr.dehttps://orcid.org/0000-0002-0660-7650
Date:2022
Journal or Publication Title:Proceedings of SPIE - The International Society for Optical Engineering
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI :10.1117/12.2612770
ISSN:0277-786X
Status:Published
Keywords:acoustics, UAV, propeller, autoencoder, mel-spectrogram
Event Title:SPIE Smart Structures and Nondestructive Evaluation
Event Location:Long Beach, USA
Event Type:international Conference
Event Dates:6.-9. März 2022
Organizer:SPIE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Components and Systems
DLR - Research area:Aeronautics
DLR - Program:L CS - Components and Systems
DLR - Research theme (Project):L - MRO and Cabin
Location: Hamburg
Institutes and Institutions:Institute of Maintenance, Repair and Overhaul > Process Optimisation and Digitalisation
Deposited By: Soria Gomez, Maria
Deposited On:02 May 2022 07:07
Last Modified:02 May 2022 07:07

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