인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Pole-mounted transformers are essential components of distribution systems, requiring reliable fault diagnosis to prevent outages and ensure stable operation. Conventional methods—ultrasonic testing, infrared thermography, and wireless load monitoring—depend heavily on human judgment and are affected by environmental factors such as weather and temperature, making accurate detection of internal faults difficult. To overcome these limitations, a radiated electromagnetic wave detection technique based on partial discharge (PD) is necessary. Effective PD detection requires identifying the frequency characteristics of emitted electromagnetic waves and using a high-sensitivity sensor capable of detecting signals at distances of at least 10 meters.
This study designs and simulates a high-sensitivity conical dipole sensor optimized for broadband performance to detect PD-induced electromagnetic radiation in distribution-level transformers. The proposed sensor improves bandwidth and detection sensitivity, and its application is expected to help prevent insulation-related outages and enhance the reliability of distribution network operation.
This study designs and simulates a high-sensitivity conical dipole sensor optimized for broadband performance to detect PD-induced electromagnetic radiation in distribution-level transformers. The proposed sensor improves bandwidth and detection sensitivity, and its application is expected to help prevent insulation-related outages and enhance the reliability of distribution network operation.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-151-26-02-094659537
