随机-认知混合不确定性下稳健性评价新指标

锁斌; 郭惠昕

doi:10.13433/j.cnki.1003-8728.2017.0606

随机-认知混合不确定性下稳健性评价新指标

doi: 10.13433/j.cnki.1003-8728.2017.0606

锁斌¹,
郭惠昕²

1.
中国工程物理研究院电子工程研究所, 四川绵阳 621900;
2.
长沙学院机电工程系, 长沙 410003

基金项目:

中国人民解放军总装备部技术基础项目（2015zk1.2）与中国工程物理研究院科学技术发展基金项目（2014B0403063）资助

详细信息

作者简介:
锁斌(1979-),副研究员,博士,研究方向为系统可靠性分析与评估、不确定性信息处理等,suo.y.y@163.com

计量
- 文章访问数: 185
- HTML全文浏览量: 33
- PDF下载量: 8
- 被引次数: 0
出版历程
- 收稿日期: 2016-01-04
- 刊出日期: 2017-06-05

Establishing New and Robust Evaluation Indexes under Aleatory and Epistemic Uncertainties

Suo Bin¹,
Guo Huixin²

1.
Institute of Electronic Engineering, China Academy of Engineering Physics, Sichuan Mianyang 621900, China;
2.
Department of Mechanical and Electrical Engineering, Changsha University, Changsha 410003, China

摘要

摘要: 在随机不确定性和认知不确定性信息混合并存的产品稳健设计中，现有的基于概率理论、模糊集理论、区间理论等建立的质量稳健性度量指标适用性受到限制。针对此问题，将各类不确定性在证据理论的统一框架下表征和处理，构建了产品质量指标的证据理论模型和不确定性量化传递方法，从随机不确定性和认知不确定性两个维度提出了产品质量稳健性的评价指标和评价方法。实例仿真表明，该方法可克服现有方法的不足，对产品质量稳健性的评价更加全面、合理。
- 稳健性评价 /
- 随机不确定性 /
- 认知不确定性 /
- 证据理论
Abstract: In designing robust products that have aleatory uncertainty and epistemic uncertainty, the existing theories of probability, fuzzy set, interval and so on are not enough to establish new and robust evaluation indexes. To solve this problem, various types of uncertainty were described and processed according to the evidence theory. Then the evidence model for product quality evaluation indexes was established; the uncertainty quantification and propagation methods were developed. Under the aleatory and epistemic uncertainties, we proposed the robust indexes and methods for evaluating product quality. The simulation results show the effectiveness of the proposed indexes and methods.
- robustness evaluation /
- aleatory uncertainty /
- epistemic uncertainty /
- evidence theory

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参考文献(34)

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