题名: |
An Enhanced Input Uncertainty Representation Method for Response Surface Models in Automotive Safety Applications |
正文语种: |
中文 |
作者: |
Yang Junqi Zhan Zhenfei Shu Yajing Zheng Ling |
作者单位: |
hongqing University, hongqing,400000 |
关键词: |
Input Representation Epistemic Uncertainty Bootstrap Automotive Safety |
摘要: |
This paper develops an enhanced method to represent the input uncertainty for response surface models (RSM) in the design optimization of automotive safety applications.Firstly,a novel Bootstrap sampling method is developed to handle the poor information of input,the re-sampled data are then used for the assessment of input uncertainty.The resulting integrated distribution acts as the initial information in the input uncertainty propagation process.The application on automotive safety shows its advantage in scheduling the design of experience to construct and correct response surface models. |
会议日期: |
20140820 |
会议举办地点: |
保定 |
会议名称: |
2014第十七届汽车安全技术学术会议 |
出版日期: |
2014-08-20 |
母体文献: |
2014第十七届汽车安全技术学术会议论文集 |