Browse > Article

The Performance Comparison of Classifier Algorithm for Pattern Recognition of Welding Flaws  

Yoon, Sung-Un (조선대학교 기계공학과)
Kim, Chang-Hyun (광주과학기술원 기전공학과)
Kim, Jae-Yeol (조선대학교 기전공학과)
Publication Information
Transactions of the Korean Society of Machine Tool Engineers / v.15, no.3, 2006 , pp. 39-44 More about this Journal
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
Welding Flaw; Classifer Algorithm; Backpropagation Neural Network; Probabilistic Neural Network; Pattern Recognition; Ultrasonic Test;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Rose, J. L., 1984, 'Element of Feature Based Ultrasonic Inspection System,' Materials Evaluation, Vol. 42, No. 2, pp. 210-218
2 Song, S. J., 1999, 'Nondestructive Flaw Classification by Pattern Recognition Approach,' KSNT, Vol. 19, No. 5, pp. 378-391
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 Vinay, K. I. and John, G. P., 1998, Digital Signal Processing, Sigma-press, Boston, pp. 353-428
5 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   DOI   ScienceOn
6 Lee, H. Y. and Moon, K. I., 1999, Neuro-Fuzzy using Matlab, A-Jin, Seoul, pp. 209-325
7 Gordon, S. K., 1987, Acoustic Waves, Prentice-Hole, New York, pp. 92-110
8 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