바이모달 이산정보에 대한 신뢰성해석 기법 비교
- Title
- 바이모달 이산정보에 대한 신뢰성해석 기법 비교
- Other Titles
- Comparative Study of Reliability Analysis Methods for Discrete Bimodal Information
- Author
- 이태희
- Keywords
- 신뢰성해석; 아카이케정보척도; 유한혼합모델; 최대엔트로피법칙; 몬테카를로 시뮬레이션; 바이모달 분포; Reliability Analysis; Akaike Information Criterion(AIC); Finite Mixture Model(FMM); Maximum Entropy Principle; Monte Carlo Simulation(MCS); Bimodal Distribution
- Issue Date
- 2012-11
- Publisher
- 대한기계학회 / The Korean Society of Mechanical Engineers
- Citation
- 대한기계학회 춘추학술대회, 2012, 2012(11), P.562-567, 6P.
- Abstract
- The distribution of a response usually depends on the distribution of a variable. When the distribution of a variable has two different modes, the response also follows a distribution with two different modes. In most reliability analysis methods, the number of modes is irrelevant, but not the type of distribution. However, in actual problems, because information is often provided with two or more modes, it is important to estimate the distributions with two or more modes. Recently, some reliability analysis methods have been suggested for bimodal distributions. In this paper, we review some methods such as the Akaike information criterion (AIC) and maximum entropy principle (MEP) and compare them with the Monte Carlo simulation (MCS) using mathematical examples with two different modes.
- URI
- http://www.dbpia.co.kr.access.hanyang.ac.kr/Journal/ArticleDetail/NODE02111668http://hdl.handle.net/20.500.11754/50931
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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