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초음파 비파괴 검사 기반의 용접결함 패턴분류기 성능 비교
김재열(J. Y. Kim),김창현(C. H. Kim),김우진(W. G. Kim),최철준(C. J. Choi),윤성운(S. U. Yoon) 한국생산제조학회 2005 한국공작기계학회 추계학술대회논문집 Vol.2005 No.-
In this study, we compared backpropagation neural network(BPNN) with probabilistic neural network(PNN) as shape recognition algorithm of welding flaws. For this purpose, variables are applied the same to two algorithm. Here, feature variable is composed of time domain signal itself and frequency domain signal itself. Through this process, we comfirmed advantages/disadvantages of two algorithms and identified application methods of two algorithms.