메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
지홍근 (국립과학수사연구원) 조영진 (국립과학수사연구원) Guoming Wang (한국해양대학교) 황성철 (한국해양대학교) 길경석 (한국해양대학교)
저널정보
한국전기전자재료학회 Transactions on Electrical and Electronic Materials Transactions on Electrical and Electronic Materials 제18권 제4호
발행연도
2017.8
수록면
221 - 224 (4page)
DOI
https://doi.org/10.4313/TEEM.2017.18.4.221

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
This paper dealt with the extraction of series arc signals based on wavelet transform in order to improve the accuracy of arcdetection in indoor wiring systems. Three types of arc sources including a cord-cord, a terminal-cord, and an outlet-plug werefabricated to simulate typical arc defects. An arc generator fabricated according to UL 1699 was used to generate arcs. Theoptimal mother wavelet was selected as bior1.5 by calculating the correlation coefficients between the detected single currentpulse and the wavelet. The detected arc current signals were then decomposed into eight levels using the discrete wavelettransform that implements the multi-resolution analysis method. By analyzing the decomposed components, the detailcomponents D6, D7, and D8 were associated with arc signals, which were used for signal reconstruction. From the result,it was verified that the proposed method can be used for the extraction of the series arc signal from the AC mains, which isexpected to be applied to further analysis of arc signals in indoor wiring systems.

목차

등록된 정보가 없습니다.

참고문헌 (18)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0