DocumentCode
1804876
Title
Application of data fusion in nondestructive testing (NDT)
Author
Heideklang, Rene ; Shokouhi, Parisa
Author_Institution
BAM - Fed. Inst. for Mater. Res. & Testing, Berlin, Germany
fYear
2013
fDate
9-12 July 2013
Firstpage
835
Lastpage
841
Abstract
Applying contemporary data fusion techniques, the multi-modal nondestructive testing (NDT) data sets can be combined to obtain more reliable results. The reliability can be quantified in terms of the probability of detection of sought material defects. A concise review of the published studies on NDT data fusion is provided here and the key concepts and anticipated challenges are discussed. The detailed steps involved in the NDT fusion process are explained with reference to a case study. The presented data set includes the results of three different NDT techniques on a test specimen with built-in defects. Several pixel-level fusion algorithms were applied and their performances are quantitatively compared.
Keywords
materials science computing; nondestructive testing; probability; reliability; sensor fusion; NDT data fusion process; NDT data sets; contemporary data fusion techniques; material defects detection probability; multimodal nondestructive testing; pixel-level fusion algorithms; reliability; Data integration; Feature extraction; Materials; Reliability; Sensor phenomena and characterization; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion (FUSION), 2013 16th International Conference on
Conference_Location
Istanbul
Print_ISBN
978-605-86311-1-3
Type
conf
Filename
6641080
Link To Document