- 인공신경망을 이용한 전기배선의 트랙킹 식별에 관한 연구
- ㆍ 저자명
- 최태원,이오걸,김이곤
- ㆍ 간행물명
- 퍼지 및 지능시스템학회 논문지
- ㆍ 권/호정보
- 1998년|8권 2호|pp.1-8 (8 pages)
- ㆍ 발행정보
- 한국지능시스템학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
In this paper, a method which cna detect tracking caused by the insulation deterioration of conduct wiring, is proposed. To investigate it, we analyzed the harmonics of each load current waveform and those of tracking current waveform with FFT. The computer which take experiment data is learned by neural network algorithm, which has recently been used for the load recognition. The proposed metod in our study can be applied to the development of several measuring equipments such as hotline insulation tester, cna earch tester for the detection of tracking under hot-line state, Furthermore, it can substitutes molded case circuit breaker, fuse, and so on.