Cross Correlation of Eddy Current Images for Detection of Fatigue Crack Propagation Moore, R. Glass, J. Groger, H. Churchill, R. 2018-02-14T06:50:14.000 2020-06-30T06:38:52Z 2020-06-30T06:38:52Z Wed Jan 01 00:00:00 UTC 1992 1992
dc.description.abstract <p>There is a need within the NDE industry to evaluate the growth of damage such as fatigue cracking and plastic deformation over the life of a structure. To accomplish this aim, data collected over a period of time must be compared spatially while quantitative measures must be developed to determine the extent of crack propagation in a damaged region. To facilitate automated inspection and characterization of defects in metals, the application of cross-correlation techniques and frequency mixing to sequential eddy current images of fatigued welds and fatigue cracks in compact tension and reduced section specimens has been investigated. Results indicate that cross-correlation techniques can be used to align scan images to provide a history of damage development and that frequency mixing can enhance the signal-to-noise ratios of fatigue cracks in welded steel. Localized damage was detected by segmenting the images into smaller cross-correlation regions for improved resolution. The technique may be used to examine magnetic eddy current data from ferrous welds and seams and to identify cracks or regions of cold working in transportation and energy-generation systems.</p>
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dc.identifier archive/
dc.identifier.articleid 2989
dc.identifier.contextkey 5800917
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath qnde/1992/allcontent/100
dc.language.iso en
dc.relation.ispartofseries Review of Progress in Quantitative Nondestructive Evaluation
dc.source.bitstream archive/|||Fri Jan 14 18:11:22 UTC 2022
dc.source.uri 10.1007/978-1-4615-3344-3_100
dc.title Cross Correlation of Eddy Current Images for Detection of Fatigue Crack Propagation
dc.type event
dc.type.genre article
dspace.entity.type Publication
relation.isSeriesOfPublication 289a28b5-887e-4ddb-8c51-a88d07ebc3f3
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