Abstract

Flaw classification(determination of the flaw type) and flaw sizing (prediction of the flaw shape, orientation and sizing parameters) are very important issues in ultrasonic nondestructive evaluation of weldments. In this work, new techniques for both classification and sizing of flaws in weldments are described together with extensive review of previous works on both topics. In the area of flaw classification, a methodology is developed which can solve classification problems using probabilistic neural networks, and in the area of flaw sizing, a time-of-flight equivalent(TOFE) sizing method is presented.

Keywords

• Flaws inWeldments;
• Flaw Classification;
• Neural Networks;
• Flaw Sizing;
• Time-of-Flight Equivalent Flaw Sizing

• 용접결함;
• 결함분류;
• 신경회로망;
• 결함 크기산정;
• 비행시간 등가결함 크기산정;

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References

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