Paper
9 May 2005 Fusion of visual and eddy current inspection results for the evaluation of corrosion damage in aircraft lap joints
Zheng Liu, David S. Forsyth, Saeed Safizadeh, Marc Genest, Abbas Fahr, Anton Marincak
Author Affiliations +
Abstract
The fusion of data from Edge of Light(EOL) and eddy current inspections of aircraft lap joints is investigated in this study. The pillowing deformation caused by corrosion products is estimated by the EOL technique first. Eddy current (ET) techniques, e.g. multi-frequency eddy current testing (MF-ET) and pulsed eddy current testing (P-ET), can provide depth-sensitive inspections of fuselage joints. The objective of this study is to investigate how the testing results obtained from the two different methods correlate to each other and what kind of complementary information is available in each result. This work contains two steps. First, the EOL inspection is quantified through a calibration process where a laser displacement sensor is used to provide the reference. The EOL estimation is for the total material loss while the eddy current or pulsed eddy current testing is employed to provide the complementary information on the remaining thickness. Second, the ET data are fused with the principle component analysis method and the results are calibrated by a calibration experiment. Finally, the bottom layer corrosion is estimated through the subtraction of EOL and ET results. The preliminary results are presented in this paper.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zheng Liu, David S. Forsyth, Saeed Safizadeh, Marc Genest, Abbas Fahr, and Anton Marincak "Fusion of visual and eddy current inspection results for the evaluation of corrosion damage in aircraft lap joints", Proc. SPIE 5768, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV, (9 May 2005); https://doi.org/10.1117/12.598756
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Cited by 2 scholarly publications.
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KEYWORDS
Corrosion

Calibration

Inspection

Data fusion

Nondestructive evaluation

Sensors

Image fusion

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