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
This study examines a smart inspection model for pre-use inspection of fixed offshore wind power facilities with gearless direct-drive turbines. Of the 170 inspection items specified in Annex 9 of the relevant notification, 135 items were selected for reviewing offshore execution. After excluding six items not applicable to the representative turbine configuration, 129 items were classified into 80 pre-installation onshore inspection items, 13 post-installation offshore field inspection items, and 36 post-installation non-field verification items.
The non-field category comprises remote measurement verification, remote witnessing, and records-based verification. Non-field verification was limited to items for which compliance could be assessed using SCADA data, remote witnessing, or test and design records under defined verification conditions. Items requiring direct confirmation of actual construction conditions, underwater components, and submarine cables were retained as offshore field inspection. In a comparison scenario for three turbines, the total inspection time was estimated to decrease from 106.5 h to 42.7 h, a reduction of 59.9%. Assuming WTIV standby or charter conditions, the estimated cost difference was KRW 2.16 billion. These results are scenario-based estimates and require validation using field inspection and remote verification data.
The non-field category comprises remote measurement verification, remote witnessing, and records-based verification. Non-field verification was limited to items for which compliance could be assessed using SCADA data, remote witnessing, or test and design records under defined verification conditions. Items requiring direct confirmation of actual construction conditions, underwater components, and submarine cables were retained as offshore field inspection. In a comparison scenario for three turbines, the total inspection time was estimated to decrease from 106.5 h to 42.7 h, a reduction of 59.9%. Assuming WTIV standby or charter conditions, the estimated cost difference was KRW 2.16 billion. These results are scenario-based estimates and require validation using field inspection and remote verification data.
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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