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바이모달 이산정보에 대한 신뢰성해석 기법 비교Comparison Study of Reliability Analysis Method for Bimodal Discrete Information
- Other Titles
- Comparison Study of Reliability Analysis Method for Bimodal Discrete Information
- Issue Date
- Nov-2012
- Publisher
- 대한기계학회
- Keywords
- Reliability Analysis(신뢰성해석); Akaike Information Criterion(AIC: 아카이케정보척도); Maximum Entropy Principle(최대엔트로피법칙); Monte Carlo Simulation(MCS: 몬테카를로 시뮬레이션); Bimodal Distribution(바이모달 분포)
- Citation
- 대한기계학회 2012년도 추계학술대회 논문집, pp.562 - 567
- Indexed
- OTHER
- Journal Title
- 대한기계학회 2012년도 추계학술대회 논문집
- Start Page
- 562
- End Page
- 567
- Abstract
- A distribution of response usually depends on the distribution of variable. When a distribution of variable has two different modes, response also follows a distribution with two different modes. In most of reliability analysis methods, they do not care the number of modes but the type of distribution. However in actual problem, since the information is provided often with two or more modes, it is important to estimate the distributions with two or more modes. Recently some reliability analysis methods for bimodal distribution are suggested. In this paper, we review the methods, i.e., maximum entropy principle (MEP) and Akaike information criterion (AIC), and compare with Monte Carlo simulation (MCS) using mathematical example with two different modes.
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Related Researcher
- Lee, Tae Hee
- COLLEGE OF ENGINEERING (DEPARTMENT OF AUTOMOTIVE ENGINEERING)