Transactions of the Korean Society of Machine Tool Engineers (한국공작기계학회논문집)

The Korean Society of Manufacturing Technology Engineers (한국생산제조학회)
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The Performance Comparison of Classifier Algorithm for Pattern Recognition of Welding Flaws

용접결함의 패턴인식을 위한 분류기 알고리즘의 성능 비교

  • Published : 2006.06.01
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Abstract

In this study, we nodestructive test based on ultrasonic test as inspection method and compared backpropagation neural network(BPNN) with probabilistic neural network(PNN) as pattern recognition algorithm of welding flasw. For this purpose, variables are applied the same to two algorithms. Where, feature variables are zooming flaw signals of reflected whole signals from welding flaws in time domain. Through this process, we confirmed advantages/disadvantages of two algorithms and identified application methods of two algorithms.

Keywords

References

  1. Gordon, S. K., 1987, Acoustic Waves, Prentice-Hole, New York, pp. 92-110
  2. Rose, J. L., Nestleoroth, J. B. and Banlasu-bramanian, K., 1988, 'Utillity of Feature Mapping in Ultrasonics Non-Destructive Evaluation,' Ultrasonics, Vol. 26, pp. 124-131 https://doi.org/10.1016/0041-624X(88)90002-9
  3. Rose, J. L., Jeong, T. H., Alloway, E. and Copper, C. T., 1984, 'A Methodlogy for Reflector Classification Analysis in Complex Geometric Welded Structures,' Materials Evaluation, Vol. 42, No. 1, pp. 98-106
  4. Rose, J. L., 1984, 'Element of Feature Based Ultrasonic Inspection System,' Materials Evaluation, Vol. 42, No. 2, pp. 210-218
  5. Kim, J. Y., Roh, B. O., You, S., Kim, C. H. and Ko, M. S., 2002, 'A Study on the Extraction of Feature Variables for the Pattern Recognition of Welding Flaws,' KSPE, Vol. 19, No. 11, pp. 103-111
  6. Vinay, K. I. and John, G. P., 1998, Digital Signal Processing, Sigma-press, Boston, pp. 353-428
  7. Lee, H. Y. and Moon, K. I., 1999, Neuro-Fuzzy using Matlab, A-Jin, Seoul, pp. 209-325
  8. Song, S. J., 1999, 'Nondestructive Flaw Classification by Pattern Recognition Approach,' KSNT, Vol. 19, No. 5, pp. 378-391