서지주요정보
신경회로망을 이용한 복합재 적층판의 충격위치 검출 = Detection of impact location for composite plates using neural networks
서명 / 저자 신경회로망을 이용한 복합재 적층판의 충격위치 검출 = Detection of impact location for composite plates using neural networks / 오정훈.
저자명 오정훈 ; Oh, Jung-Hoon
발행사항 [대전 : 한국과학기술원, 1998].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8008662

소장위치/청구기호

학술문화관(문화관) 보존서고

MAE 98015

SMS전송

도서상태

이용가능

대출가능

반납예정일

초록정보

This paper presents a neural network-based method to detect the impact location in composite plates. Piezoceramic sensors were mounted in the corner of a quasi-isotropic graphite/epoxy composite plate. A square plate with fixed boundary condition was impacted by impact hammer. To detect impact locations, two methods were adopted. First, the arrival- time differences of acoustic wave generated by impact were used as inputs of neural networks for detecting impact location. This neural network was trained by a set of 36 simulated impact locations, and tested on the 10 random impacts. Average RMS error of detected impact locations was 1.52 radial centimeters. Second, amplitudes of natural frequencies obtained from FFT of piezosensor data were added to inputs of the first neural networks. This added information can enhance precision of detection networks and average RMS error was reduced to 1.08 radial centimeters.

서지기타정보

서지기타정보
청구기호 {MAE 98015
형태사항 vi, 52 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Jung-Hoon Oh
지도교수의 한글표기 : 김천곤
지도교수의 영문표기 : Chun-Gon Kim
학위논문 학위논문(석사) - 한국과학기술원 : 항공우주공학과,
서지주기 참고문헌 : p. 26-27
주제 신경회로망
충격위치
복합재 적층판
Neural network
Impact location
Composite plat
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