izpis_h1_title_alt

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

.pdfPDF - Presentation file, Download (9,25 MB)
MD5: 26F4A5321FCAF75BB591EC5C4C85D5E9
URLURL - Source URL, Visit https://www.mdpi.com/1424-8220/22/19/7616 This link opens in a new window

Abstract
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.

Language:English
Keywords:corrosion, non-destructive testing, D-Sight, condition monitoring, image processing
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status:Published
Publication version:Version of Record
Publication date:01.10.2022
Year:2022
Number of pages:22 str.
Numbering:Vol. 22, iss. 19, art. 7616
PID:20.500.12556/RUL-141873 This link opens in a new window
UDC:620.179:620.193
ISSN on article:1424-8220
DOI:10.3390/s22197616 This link opens in a new window
COBISS.SI-ID:124908035 This link opens in a new window
Publication date in RUL:10.10.2022
Views:533
Downloads:87
Metadata:XML DC-XML DC-RDF
:
Copy citation
Share:Bookmark and Share

Record is a part of a journal

Title:Sensors
Shortened title:Sensors
Publisher:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:korozija, neporušno testiranje, spremljanje stanja, računalniška obdelava slik

Projects

Funder:Other - Other funder or multiple funders
Funding programme:Excellence Initiative—Research University program implemented at the Silesian University of Technology
Project number:10/060/SDU/10-21-01

Funder:ARRS - Slovenian Research Agency
Project number:P2-0182
Name:Razvojna vrednotenja

Similar documents

Similar works from RUL:
Similar works from other Slovenian collections:

Back