Automated Identification of Hidden Corrosion Based on the D-Sight Technique: A Case Study on a Military Helicopter-Reference-Cited by-同舟云学术

Automated Identification of Hidden Corrosion Based on the D-Sight Technique: A Case Study on a Military Helicopter

Published:2023-08-11 Issue:16 Volume:23 Page:7131
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Katunin Andrzej¹^ORCID,Synaszko Piotr²^ORCID,Dragan Krzysztof²

Affiliation:

1. Department of Fundamentals of Machinery Design, Faculty of Mechanical Engineering, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland

2. Airworthiness Division, Air Force Institute of Technology, Ks. Bolesława 6, 01-494 Warsaw, Poland

Abstract

Hidden corrosion remains a significant problem during aircraft service, primarily because of difficulties in its detection and assessment. The non-destructive D-Sight testing technique is characterized by high sensitivity to this type of damage and is an effective sensing tool for qualitative assessments of hidden corrosion in aircraft structures used by numerous ground service entities. In this paper, the authors demonstrated a new approach to the automatic quantification of hidden corrosion based on image processing D-Sight images during periodic inspections. The performance of the developed processing algorithm was demonstrated based on the results of the inspection of a Mi family military helicopter. The nondimensional quantitative measurement introduced in this study confirmed the effectiveness of this evaluation of corrosion progression, which was in agreement with the results of qualitative analysis of D-Sight images made by inspectors. This allows for the automation of the inspection process and supports inspectors in evaluating the extent and progression of hidden corrosion.

Funder

Silesian University of Technology

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/23/16/7131/pdf

Reference29 articles.

1. The role of enhanced visual inspections in the new strategy for corrosion management;Komorowski;Aircr. Eng. Aerosp. Technol.,2000

2. Liao, M. (2018, January 10–14). Corrosion damage atlas for aircraft corrosion management and structural integrity assessment. Proceedings of the NATO RTO STO-MP-AVT-303 Corrosion Management, Athens, Greece.

3. Li, L., Chakik, M., and Prakash, R. (2021). A review of corrosion in aircraft structures and graphene-based sensors for advanced corrosion monitoring. Sensors, 21.

4. Nusser, J.K., Herzberg, E., Stimson, D.J., and Babish, C.A. (February, January 30). Data-driven corrosion prevention and control decisions for the USAF. Proceedings of the Society for Protective Coatings 2017 (SSPC 2017) Conference, Tampa, FL, USA.

5. Cassidy, M., Waldie, J., and Palanisamy, S. (2015, January 23–24). A method to estimate the cost of corrosion for Australian Defense Force aircraft. Proceedings of the AIAC16 Sixteenth Australian International Aerospace Congress, Melbourne, Australia.