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Design of the MOI method based on the artificial neural network for crack detection.

Authors :
Tian, Lulu
Cheng, Yuhua
Yin, Chun
Ding, Derui
Song, Yan
Bai, Libing
Source :
Neurocomputing. Feb2017, Vol. 226, p80-89. 10p.
Publication Year :
2017

Abstract

This paper proposes a new method to detect crack in metals by utilizing the magnetic optical image (MOI) method. MOI detection is one of a nondestructive testing method, which is based on the Faraday magneto-optical effect. The artificial neural network (ANN) approach is applied to identify the crack, according to the dynamically threshold selection. There are two kinds of threshold vectors that are proposed by the ANN algorithm. A good threshold can be obtained from the vectors using a law. The new image acquired is processed by a magnetic domain spots filter. This filtering method is based on the connection law who holds good ability to process the spots in the MOI image. Based on these methods, the detecting system can recognize the crack clearly and the results would confirm it. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09252312
Volume :
226
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
120321029
Full Text :
https://doi.org/10.1016/j.neucom.2016.11.032