Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이태희 | - |
dc.date.accessioned | 2018-04-26T02:24:16Z | - |
dc.date.available | 2018-04-26T02:24:16Z | - |
dc.date.issued | 2013-05 | - |
dc.identifier.citation | 10th World Congress on Structural and Multidisciplinary Optimization May 19 -24, 2013, Orlando, Florida, USA | en_US |
dc.identifier.uri | http://www2.mae.ufl.edu/mdo/Papers/5552.pdf | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/70698 | - |
dc.description.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 noisen 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. | en_US |
dc.description.sponsorship | The contents of this paper are a part of the R&D project, “Technology Development of Deep-seabed Mining System for Manganese Nodules,” sponsored by the Ministry of Oceans and Fisheries of Korea. This research was partially supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2010-0023257). The authors appreciate this partial support for this research. | en_US |
dc.language.iso | en | en_US |
dc.publisher | ISSMO | en_US |
dc.subject | Nonparametric estimation | en_US |
dc.subject | Reliability analysis (RA) | en_US |
dc.subject | Inaccessible area | en_US |
dc.subject | Noise random variables (NRVs) | en_US |
dc.subject | Robustness | en_US |
dc.title | Nonparametric reliability analysis for design of a mechanical system working on an inaccessible area | en_US |
dc.type | Article | en_US |
dc.relation.page | 1-12 | - |
dc.contributor.googleauthor | Lee, Tae Hee | - |
dc.contributor.googleauthor | Choi, Jong-Su | - |
dc.contributor.googleauthor | Lim, Woo Chul | - |
dc.contributor.googleauthor | Cho, Su-gil | - |
dc.contributor.googleauthor | Lee, Minuk | - |
dc.contributor.googleauthor | Hong, Sup | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF AUTOMOTIVE ENGINEERING | - |
dc.identifier.pid | thlee | - |
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