• 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