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Monitoring of hidden corrosion growth in aircraft structures based on D-Sight inspections and image processing
ID Katunin, Andrzej (Avtor), ID Nagode, Marko (Avtor), ID Oman, Simon (Avtor), ID Cholewa, Adam (Avtor), ID Dragan, Krzysztof (Avtor)

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Izvleček
Hidden corrosion in aircraft structures, not detected on time, can have a significant influence on aircraft structural integrity and lead to catastrophic consequences. According to the widely accepted damage tolerance philosophy, non-destructive inspections are performed to assess structural safety and reliability. One of the inspection techniques used for such an inspection is the optical D-Sight technique. Since D-Sight is used primarily as a qualitative method, it is difficult to assess the evolution of a structural condition simply by comparing the inspection results. In the following study, the method to monitor hidden corrosion growth is proposed on the basis of historical data from D-Sight inspections. The method is based on geometric transforms and segmentation techniques to remove the influence of measurement conditions, such as the angle of observation or illumination, and to compare corroded regions for a sequence of D-Sight images acquired during historical inspections. The analysis of the proposed method was performed on the sequences of D-Sight images acquired from inspections of Polish military aircraft in the period from 2002 to 2017. The proposed method represents an effective tool for monitoring hidden corrosion growth in metallic aircraft structures based on a sequence of D-Sight images.

Jezik:Angleški jezik
Ključne besede:corrosion, non-destructive testing, D-Sight, condition monitoring, image processing
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Datum objave:01.10.2022
Leto izida:2022
Št. strani:22 str.
Številčenje:Vol. 22, iss. 19, art. 7616
PID:20.500.12556/RUL-141873 Povezava se odpre v novem oknu
UDK:620.179:620.193
ISSN pri članku:1424-8220
DOI:10.3390/s22197616 Povezava se odpre v novem oknu
COBISS.SI-ID:124908035 Povezava se odpre v novem oknu
Datum objave v RUL:10.10.2022
Število ogledov:526
Število prenosov:87
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Sensors
Skrajšan naslov:Sensors
Založnik:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:korozija, neporušno testiranje, spremljanje stanja, računalniška obdelava slik

Projekti

Financer:Drugi - Drug financer ali več financerjev
Program financ.:Excellence Initiative—Research University program implemented at the Silesian University of Technology
Številka projekta:10/060/SDU/10-21-01

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P2-0182
Naslov:Razvojna vrednotenja

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