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Singular Value Decomposition Processing of Magneto-Optic Images for Flawed Rivet Identification in Agin Aircrafts

Academic Article
Publication Date:
2009
Short description:
Singular Value Decomposition Processing of Magneto-Optic Images for Flawed Rivet Identification in Agin Aircrafts / Cacciola, M., Udpa, L., Versaci, M., Morabito, F.C.. - In: NONDESTRUCTIVE TESTING AND EVALUATION. - ISSN 1058-9759. - 24:1-2(2009), pp. 53-59. [10.1080/10589750802195485]
abstract:
In recent years, nondestructive testing and evaluation techniques have been successfully used to evaluate the integrity on different kinds of materials. These methods have been exploited in a lot of interesting industrial applications, since they have the advantage to keep the inspected specimens intact. In particular, within the framework of ageing aircrafts’ inspection, magnetooptic imaging (MOI) is increasing in importance and popularity. Usually, the open problem with MOI is the identification of bad rivets starting from experimental measurements. For this purpose, the Karhunen–Loeve transform, an eigenvector singular value decomposition based technique, has been exploited by authors. In this paper, the implemented method and very interesting preliminary results are described.
Iris type:
1.1 Articolo in rivista
List of contributors:
Cacciola, M; Udpa, L; Versaci, Mario; Morabito, Francesco Carlo
Authors of the University:
MORABITO Francesco Carlo
VERSACI Mario
Handle:
https://iris.unirc.it/handle/20.500.12318/1780
Published in:
NONDESTRUCTIVE TESTING AND EVALUATION
Journal
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