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
Fixed-type offshore wind power facilities operate under harsh marine conditions—salinity, corrosion, combined wave and current loading, and severe access restrictions—that increase the likelihood of component failure while making periodic inspection and maintenance difficult and costly. Conventional Failure Mode and Effects Analysis (FMEA) based on the Risk Priority Number (RPN) evaluates failure modes only at the component level and cannot reflect the relative importance of higher-level subsystems, which biases the risk ranking toward frequently occurring failures. This paper proposes a two-stage hybrid safety assessment framework that combines the Analytic Hierarchy Process (AHP) with RPN-based FMEA. A component classification aligned with the inspection and diagnostic capability of an electrical safety authority is first derived, comprising four major categories, fifteen sub-elements, and eighty-one failure modes. AHP assigns relative weights to the four top-level categories, while a marine-adapted seven-point RPN scheme evaluates each failure mode; the two are combined into a Weighted Risk Priority Index (WRPI) on a 100-point scale. Both the pairwise comparisons and the S–O–D ratings were elicited from a panel of six field-inspection experts of an electrical safety authority, covering the electrical, civil and mechanical disciplines. The AHP analysis yields the highest weight for electrical facilities (0.565), followed by wind facilities (0.262), the SCADA system (0.118) and the civil foundation (0.055), with a consistency ratio of 0.043. The resulting WRPI ranking shows closer qualitative agreement with published wind-turbine accident statistics than either a raw-RPN ranking or an equally weighted single-stage FMEA, and the framework is expected to support the prioritization of inspection items for future SCADA-based remote assessment.
본문·목차
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