Fuzzy Solution of Uncertainty Problems in Multi-objective Optimization of Accelerated Degradation Test Design

被引:0
作者
Wang Xiaohong [1 ]
Fan Wenhui [1 ]
Wang Lizhi [1 ]
机构
[1] Beihang Univ, 37 Xueyuan Rd, Beijing, Peoples R China
来源
PROCEEDINGS OF THE 2018 1ST IEEE INTERNATIONAL CONFERENCE ON KNOWLEDGE INNOVATION AND INVENTION (ICKII 2018) | 2018年
关键词
accelerating degradation test; optimal design; fuzzy problem; rubber seal ring;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
HOW to obtain the most effective experimental data under limited resources via the optimal experimental design is one of main research topics of Accelerating Degradation Test (ADT). At present, the research on ADT design method mainly focuses on design randomness, while the design fuzziness hasn't been widely discussed but is another critical uncertainty to be addressed included in all aspects of experiment design. This paper is proposing an ADT optimal design methodology based on fuzzy theory, including methods of fuzzy objective and constraints determination, result assessment, and optimal design procedures. An engineering case about lubber seal ring ADT experimental design is provided to validate optimal design methodology to address fuzzy problem and enhance ADT design.
引用
收藏
页码:313 / 316
页数:4
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