인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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.
초록·키워드
Despite extensive research and practical applications in fault prevention diagnostics for power facilities, issues arising from environmental factors and subjective judgment errors persist. Particularly, the diagnosis of distribution-level facilities employs multiple methods, revealing limitations in terms of cost-effectiveness and reliability. Power facilities, operating under high-voltage and high-current conditions, are prone to degradation. To address these challenges, this study proposes a diagnostic sensor that measures electromagnetic waves emitted during partial discharge (PD). This paper presents the design of a high-sensitivity, reliable sensor. to minimize environmental influences and accurately detect PD signals for early diagnosis of insulation defects. The proposed cone-shaped sensor adopts a triangular short-circuit plate structure, achieving compactness and cost-efficiency while maintaining stable performance under various environmental conditions. Simulation analysis of reflection loss characteristics confirms that this sensor can serve as a diagnostic tool that meets the reliability and cost-efficiency requirements for power facilities.
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.
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UCI(KEPA) : I410-151-25-02-091256637