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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.
풍력 블레이드 복합재의 결함 탐상을 위한 NDE 모니터링기법
임광희(K. H. Im),김우진(W. J. Kim),정예원(Y. W. Jeong),조철현(C. H. Cho),김선규(S. K. Kim),조영태(Y. T. Cho) Korean Society for Precision Engineering 2021 한국정밀공학회 학술발표대회 논문집 Vol.2021 No.11월
Terahertz waves (T-ray) was extensively studied for the nondestructive evaluation of characterization of various and FRP composite materials for a use of wind energy. The composite materials are being utilized on the various areas. Here, T-rays were used to perform NDE when detecting defects in the trailing edge of a wind turbine blade. This study proposed a method to measure a refractive index of a composite, using T-rays (THz) and reviewed the characteristics of the T-ray E-field of a CFRP composite. Particularly, this study produced images to determine defects in the trailing edge of a wind turbine blade and compared and analyzed the images. The TOF of T-ray penetration was measured using a T-ray through-transmission mode to find the following characteristics of the blade. The trailing edge of a nonconductive wind turbine blade could transmit T-rays, enabling the measurement of refractive indices in a through-transmission mode. The effectiveness and limitations of T-ray for the NDE of composites are discussed.