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Acoustic non-destructive testing of UAS´s propellers during predeparture and post-flight checks

Soria Gomez, Maria and Koschlik, Ann-Kathrin and Arts, Emy and Raddatz, Florian and Wende, Gerko (2023) Acoustic non-destructive testing of UAS´s propellers during predeparture and post-flight checks. In: Proceedings of the 13th European Conference on Non-Destructive Testing 2023. ECNDT2023, 03.-07. Juli 2023, Lisbon, Portugal. doi: 10.58286/28093.

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Official URL: https://www.ndt.net/search/docs.php3?id=28093


Unmanned Aerial System (UAS) activities have increased steeply in the last years, market research forecasts a continuous increase in the near future. The rapid growth of this industry, however, has outpaced the development of rules and systems to govern their use, as well as those to ensure a safe operation before, during and after flight. Maintenance, Repair and Overhaul (MRO) aspects will gain relevance as more and more UAS take to the sky. Rotary-wing UAS have 2 or more propellers, which are easily damaged during normal operation of the vehicle. The reduced thrust and increased vibration imply losing performance and setting the UAS structure under stress. With the propellers being the main source of sound of the propulsion system, we propose the use of acoustics to identify damaged propellers. Microphones placed off-board do neither disrupt UAS operation nor reduce the payload capacity. Furthermore, this method does not depend on a particular manufacturer or software. In this paper, we present a concept for the non-destructive testing of multi-copter propellers. The fault diagnosis aims at recognizing the difference in sound between damaged and undamaged propellers. This evaluation takes place before the UAS takes off the ground and after it lands, thus allowing to interrupt a possible dangerous mission or identifying damage occurred during operation. The vehicle is on the ground in an “idle state” where the propellers already spin, but not fast enough to lift it. This state is used for a first analysis of the sound of a single propeller and several propellers, as well as for the generation of data. Next, two approaches for the detection of damage are developed and their performance is evaluated: an analytical approach and a machine learning algorithm based on an autoencoder neural network.

Item URL in elib:https://elib.dlr.de/193817/
Document Type:Conference or Workshop Item (Speech)
Title:Acoustic non-destructive testing of UAS´s propellers during predeparture and post-flight checks
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Soria Gomez, MariaUNSPECIFIEDhttps://orcid.org/0000-0003-3935-7253UNSPECIFIED
Koschlik, Ann-KathrinUNSPECIFIEDhttps://orcid.org/0000-0002-7958-0735138776826
Arts, EmyUNSPECIFIEDhttps://orcid.org/0000-0001-5496-5316UNSPECIFIED
Raddatz, FlorianUNSPECIFIEDhttps://orcid.org/0000-0002-0660-7650UNSPECIFIED
Date:7 July 2023
Journal or Publication Title:Proceedings of the 13th European Conference on Non-Destructive Testing 2023
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:UAS, acoustic emission, acoustic monitoring, MRO, propeller, algorithm
Event Title:ECNDT2023
Event Location:Lisbon, Portugal
Event Type:international Conference
Event Dates:03.-07. Juli 2023
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:07 Feb 2023 14:21
Last Modified:21 Aug 2023 06:39

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