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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국신뢰성학회 International Journal of Reliability and Applications International Journal of Reliability and Applications 제19권 제1호
- 발행연도
- 2018.6
- 수록면
- 1 - 25 (25page)
이용수
초록· 키워드
In this study we present a two replacement policies, first based on the number of down times, k of the system such that the long run expected reward per unit time is maximized and second is based on number of failures, N of component 1 such that long run expected reward per unit time is maximized. For the first policy system can be replaced when the number of down times for the system reaches k and for the second policy system can be replaced when number of failure of the component 1 reaches to N . We consider a cold standby system with identical components and failure rate of components are relatively large (overloaded system). Triangular fuzzy numbers are used to represent failure and repair rates as they allow expert opinion, linguistic variables, operating conditions, uncertainty and imprecision in information, to be incorporated into system model. It is assumed that the working time and repair time for the component have independent exponential distribution. The expression for long run expected reward per unit time for a renewal cycle is derived and illustrated proposed policies with numerical examples and simulation study. Also compare two policies by using simulation method.
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
목차
- Abstract
- 1. INTRODUCTION
- 2. PRELIMINARIES
- 3. PROBLEM DESCRIPTION AND MODEL ANALYSI
- 4. NUMERICAL EXAMPLES
- 5. SIMULATION STUDY
- 6. CONCLUSIONS
- REFERENCES
참고문헌
참고문헌 신청최근 본 자료
UCI(KEPA) : I410-ECN-0101-2019-323-000510893
