접근이 어려운 장소에서 작동하는 기계시스템 설계를 위한 비모수 신뢰성해석

Abstract

Nonparametric (distribution-free) reliability analysis (RA) is suggested as an alternative for RA of a mechanical system working on an inaccessible area, for instance, vehicle traveling on deep-seabed. Generally, it is not easy to estimate the appropriate statistical distribution function on the base of sample data, especially noise or environmental factors. Since the probability distributions of noise random variables are not often known and only a few sample data is given for design of a mechanical system working on the inaccessible area, the usage of nonparametric estimation is an emerging method to estimate the reliability of the system. Nonparametric RA is defined as reliability estimation of performance function from nonparametrically estimated distribution of noise random variables. A mathematical example is illustrated to compare the characteristics of nonparametric RA with those of parametric RA. Test statistic for estimated distribution of a noise random variable and reliability accuracy at a design point are used for evaluation of the performance and robustness of each RA. It is concluded that the nonparametric RA is more robust then the parametric RA for few sample data of stochastic variables.