A Data Fusion Based Approach for Evaluation of Material Loss in Corroded Aluminum Panels
Abstract
Nondestructive Testing (NDT) is used to detect hidden corrosion in ageing aircraft structures. Use of any single NDT modality provides an incomplete picture of the corrosion environment. Data fusion techniques can be used for improved visualization and automated detection of hidden corrosion in multilayered structures. This work investigates a data fusion based technique using ultrasound measurements from corroded aircraft samples for estimating material loss. Experimental results are presented and suggestions for future work are made for evaluating residual structural integrity of the panels for a damage tolerance approach to corrosion mitigation.
Recommended Citation
S. De et al., "A Data Fusion Based Approach for Evaluation of Material Loss in Corroded Aluminum Panels," Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems (2009, St. Louis, MO), pp. 444 - 449, Institute of Electrical and Electronics Engineers (IEEE), Oct 2009.
The definitive version is available at https://doi.org/10.1109/ITSC.2009.5309830
Meeting Name
12th International IEEE Conference on Intelligent Transportation Systems (2009: Oct. 4-7, St. Louis, MO)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Ageing Aircraft; Aluminum Panel; Automated Detection; Corrosion Environments; Data Fusion Technique; Hidden Corrosion; Improved Visualization; Material Loss; Multi-layered Structure; Non Destructive Evaluation; Non Destructive Testing; Ultrasound Measurement; Acoustic Waves; Aircraft; Aircraft Manufacture; Airframes; Corrosion; Data Fusion; Data Visualization; Information Fusion; Intelligent Vehicle Highway Systems; Nondestructive Examination; Structural Analysis; Ultrasonics; Vehicle Locating Systems; Ultrasonic Applications
International Standard Book Number (ISBN)
978-1-4244-5519-5
International Standard Serial Number (ISSN)
2153-0009
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2009 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Oct 2009