Objective Ultrasonic Characterization of Welding Defects Using Physically Based Pattern Recognition Techniques

  • S. F. Burch

Abstract

Computer-based methods for analysing ultrasonic data to distinguish between different defect types have been based on a variety of techniques such as adaptive learning [1], artificial intelligence [2] and statistical pattern recognition [3]. The uncertain classification reliability of these techniques when applied to a range of realistic defect types has, however, often been a significant practical limitation to their use.

Keywords

Fatigue Porosity Welding Peaked 

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References

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Copyright information

© Plenum Press, New York 1988

Authors and Affiliations

  • S. F. Burch
    • 1
  1. 1.Materials Physics and Metallurgy DivisionHarwell LaboratoryOxfordshireUK

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