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
Heating, Ventilation, and Air Conditioning (HVAC) systems are typically viewed as secondary maintenance targets because their failures usually result in only temporary discomfort and inconvenience for indoor workers, rather than causing facility damage or safety hazards. However, in nuclear fuel cycle facilities, HVAC systems function as containment systems to isolate radioactive materials, making them essential for facility safety. Among these systems, the air-supply and exhaust fans are the most critical components for maintaining negative pressure conditions, as their reliability directly affects overall facility safety. Therefore, implementing Fault Detection and Diagnosis (FDD) and Condition-Based Maintenance (CBM) for these fans is crucial to enhancing the safety and reliability of the facility. This study conducted a vibration-based diagnosis of the air-supply and exhaust fans in a domestic nuclear fuel cycle facility to assess the overall integrity of the fan system, which includes an impeller, bearings, pulleys, belts, and a motor. The results showed that the vibration-based FDD method effectively detects high vibrations, identifies failure types, and pinpoints faulty components. Considering the increasing demand for safety enhancements in nuclear fuel cycle facilities and the growing importance of CBM for their HVAC systems, adopting vibration-based CBM technology for air-supply and exhaust fans is expected to further improve facility safety. Additionally, transitioning from a breakdown maintenance approach to a CBM-based proactive strategy is anticipated to enhance the efficiency of nuclear fuel cycle facility management.
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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