다봉분포; 신뢰성기반최적설계; 최대엔트로피법칙; 최우량추정; 아카이케정보척도; Multimodal distribution; Reliability-based Design Optimization; Maximum Entropy Principle; Maximum Likelihood Estimation; Akaike Information Criterion
Issue Date
2014-11
Publisher
대한기계학회 / The Korean Society of Mechanical Engineers
Citation
대한기계학회 춘추학술대회 2014(11), pp.992-993(2쪽)
Abstract
In recent studies of reliability analysis methods, estimation of reliability for unimodal and bimodal distribution has been done separately. However, in reliability-based design optimization, the number of output modes depends on input modes, design point, function nonlinearity, and so on. Therefore, in this study, we define a probability density function(PDF) in exponential polynomial form for multimodal distribution. Parameters for the multimodal PDF can be estimated by maximum likelihood estimation and then effective polynomial terms can be determined by Akaike information criterion. Finally, distribution of each design point is estimated as exponential polynomial form and the reliability is calculated by integration of the PDF.