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.
초록·키워드
Very low frequency(VLF) tan measurements are widely used to evaluate the insulation degradation of power cables. In Korea,δ diagnostic evaluations are generally performed using an Index R derived from multiple tan parameters. However, the conventionalδ Index R approach has limited applicability when certain factors, such as skirt, cannot be measured. From the analysis of more than 6,000 sets of domestic underground cable data, approximately 15% of the data were found to be unsuitable for Index R calculation due to missing or unmeasurable parameters. To overcome this limitation, three diagnostic parameters(reproducibility, coefficient of determination, and sum of norm) were applied, and various parameter combinations were analyzed through a statistical approach to identify the most effective combinations for condition assessment. Based on this analysis, an alternative method for cable degradation evaluation was proposed for cases where Index R computation is not feasible.By applying the optimal combination, degradation grading became possible even for cable sections where Index R could not be calculated, demonstrating its value as a supplementary diagnostic tool. This approach can support practical decisions on cable maintenance and replacement without requiring additional testing.
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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