检索结果-南通市图书馆

Reliability measure approach considering mixture uncertainties under insufficient input data

Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2023年第2期24卷 146-161页

作者： Zhenyu LIU Yufeng LYU Guodong SA Jianrong TAN State Key Laboratory of CAD&CG Zhejiang UniversityHangzhou 310058China Ningbo Research Institute Zhejiang UniversityNingbo 315100China Laboratory of Healthy&Intelligent Kitchen System Integration of Zhejiang Province Ningbo 315336China School of Mechanical Engineering Zhejiang UniversityHangzhou 310058China

Reliability analysis and reliability-based optimization design require accurate measurement of failure probability under input uncertainties.A unified probabilistic reliability measure approach is proposed to calculate the probability of failure and sensitivity indices considering a mixture of uncertainties under insufficient input data.The input uncertainty variables are classified into statistical variables,sparse variables,and interval variables.The conservativeness level of the failure probability is calculated through uncertainty propagation analysis of distribution parameters of sparse variables and auxiliary parameters of interval variables.The design sensitivity of the conservativeness level of the failure probability at design points is derived using a semi-analysis and sampling-based method.The proposed unified reliability measure method is extended to consider p-box variables,multi-domain variables,and evidence theory variables.Numerical and engineering examples demonstrate the effectiveness of the proposed method,which can obtain an accurate confidence level of reliability index and sensitivity indices with lower function evaluation number.

关键词： insufficient data Reliability index Sensitivity analysis Sparse variable Uncertainty propagation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Efficiency Evaluation Model Based on Belief Rule Base with insufficient data

Efficiency Evaluation Model Based on Belief Rule Base with I...

引用

第30届中国控制与决策会议

作者： Leilei Chang Zhipeng Sun Runfan Han Tianjun Liao Zhaojun Mao School of Combatant Logistics High-tech Institute of Xi’an Beijing Institute of System Engineering State Key Laboratory of Complex System Simulation

National defense is very important since it has great influence on the stabilization of a nation and the welfare of its people. To accomplish the mission and tasks of national defense, the weapon systems need to be in its best conditions and be most effective. However, it is rather difficult to directly construct an effectiveness evaluation model from a national defense level since there are multiple influential factors that are interacted and can not be analytically integrated in one single function. Moreover, there are insufficient data which makes it more difficult for the modeling and training approaches. The Armored System of Systems（ASoS） is used as the combatant background. Moreover, the belief Rule Base（BRB） expert system with a training approach is applied to construct the effectiveness model. The proposed approach is validated by a Missile Armored System of System（M-ASoS） case study.

关键词： Efficiency Evaluation Model Belief Rule Base insufficient data

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：