이산정보의 증가에 따른 아카이케정보척도 기반 신뢰성해석의 정확도 평가
- Title
- 이산정보의 증가에 따른 아카이케정보척도 기반 신뢰성해석의 정확도 평가
- Other Titles
- Evaluation of Accuracy of Reliability for Increasing Number of Discrete Information using Akaike Information Criterion based Reliability Analysis
- Author
- 이태희
- Keywords
- 신뢰성해석; 이산정보; 최우량추정법; 아카이케정보척도; 몬테카를로 시뮬레이션; Reliability Analysis; Discrete Information; Maximum Likelihood Estimation(MLE); Akaike Information Criterion(AIC); Monte Carlo Simulation(MCS)
- Issue Date
- 2012-11
- Publisher
- 대한기계학회 / The Korean Society of Mechanical Engineers
- Citation
- 대한기계학회 춘추학술대회, 2012, 2012(11), P.2201-2206, 6P.
- Abstract
- It is highly inappropriate to perform the reliability analysis for discrete information using earlier developed methods because most of these methods assumed that the distribution of variables is continuous. On the other hand reliability analysis using Akaike information criterion (AIC) is an appropriate method to calculate reliability for discrete information, since it uses discrete information directly which stands as an advantage in reliability analysis. As we know reliability becomes more accurate with increase in number of discrete information. Therefore in this paper, we suggest a suitable number of samples to calculate reliability. To evaluate accuracy of reliability, we compare AIC with Monte Carlo simulation (MCS) using mathematical examples.
- URI
- http://www.dbpia.co.kr/Article/NODE02112104http://hdl.handle.net/20.500.11754/54234
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
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