EIRIC MENU

전자정보연구정보센터

로그인
로그인
  • 트위터바로가기
  • 페이스북바로가기
  • 카카오채널바로가기
  • 유튜브바로가기
사이트맵
닫기

사이트맵

Loading..

전자정보연구정보센터 ICT 융합 전문연구정보의 집대성

국내 논문지

홈 홈 > 연구문헌 > 국내 논문지 > 전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

Current Result Document : 18 / 27 이전건 이전건   다음건 다음건

한글제목(Korean Title) LabVIEW에 의한 Tracking 신호 분류 및 인식
영문제목(English Title) Classification and recognition of electrical tracking signal by means of LabVIEW
저자(Author) 김대복   김정태   오성권   Dae-Bok Kim   Jung-Tae Kim   Sung-Kwun Oh  
원문수록처(Citation) VOL 59 NO. 04 PP. 0779 ~ 0787 (2010. 04)
한글내용
(Korean Abstract)
영문내용
(English Abstract)		 In this paper, We introduce electrical tracking generated from surface activity associated with flow of leakage current on insulator under wet and contaminated conditions and design electrical tracking pattern recognition system by using LabVIEW. We measure the leaking current of contaminated wire by using LabVIEW software and the NI-c-DAQ 9172 and NI-9239 hardware. As pattern recognition algorithm and optimization algorithm for electrical tracking system, neural networks, Radial Basis Function Neural Networks(RBFNNs) and particle swarm optimization are exploited. The designed electrical tracking recognition system consists of two parts such as the hardware part of electrical tracking generator, the NI-c-DAQ 9172 and NI-9239 hardware and the software part of LabVIEW block diagram, LabVIEW front panel and pattern recognition-related application software. The electrical tracking system decides whether electrical tracking generate or not on electrical wire.
키워드(Keyword) Electrical tracking   Particle Swarm Optimization   Neural Networks   Radial Basis Function Neural Networks   LabVIEW  
원문 PDF 다운로드

* 자료제공 NDSL