Eddy Current Image Processing for Crack Size Characterization

  • R. O. McCary
Part of the Review of Progress in Quantitative Nondestructive Evaluation book series


Estimation of crack length and depth is of considerable interest to the eddy current testing community, due to their importance in determining the relative severity of the flaw. A paper presented at the INTERMAG-MMM conference in July, 1988 proposes an automated method for estimation using eddy current image data where the material being tested is magnetic [1]. These estimates are within two to one of the correct results over a wide range of EDM slot sizes and aspect ratios, provided the slot length is at least half the mean coil radius. A second motivation for the present work is to provide a benchmark against which other techniques, or variations such as lower sampling density or different flying heights (fixed lift-off), may be measured. Since there is no obvious reason why the same methodology should not work for non-magnetic material tests, seven different sets of data on the twelve EDM slots in a calibration block were run thru a similar algorithm. A brief description of the algorithm will be given, then the data sets will be described, and the results (including some processing variations) discussed.


Integrate Signal Length Estimate Flying Height Eddy Current Testing Slot Length 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    R.O. McCary and J.R.M. Viertl, Automating an Eddy Current Test System for In-Service Inspection of Turbine/Generator Rotor Bores^,IEEE Trans. on Magnetics, Vol. MAG-24, No. 6, PP. 2594–2596 Nov. 1988.Google Scholar

Copyright information

© Springer Science+Business Media New York 1990

Authors and Affiliations

  • R. O. McCary
    • 1
  1. 1.Corporate Research and DevelopmentGeneral Electric Co.SchenectadyUSA

Personalised recommendations