检索结果-南通市图书馆

inspection interval optimization for aircraft composite structures with dent and delamination damage

Journal of Systems Engineering and Electronics 2021年第1期32卷 252-260页

作者： CAI Jing DAI Dingqiang College of Civil Aviation Nanjing University of Aeronautics and AstronauticsNanjing 211106China

The optimization of inspection intervals for composite structures has been proposed,but only one damage type,dent damage,has been addressed so *** present study focuses on the two main damage types of dent and delamination,and a model for optimizing the inspection interval of composite structures is proposed to minimize the total maintenance cost on the premise that the probability of structure failure will not exceed the acceptable *** order to analyze the damage characteristics and the residual strength of the composite structure,the frequency,energy,size,and depth of the damage are studied,and the situation of missing detection during the inspection is *** structural residual strength and total maintenance cost are quantified corresponding to different inspection *** proposed optimization method relieves the constraints in previous simulation methods,and is more consistent with the actual ***,the outer wing of aircraft is taken as an example,and with the historical cases and experimental data,the optimization method is *** optimal inspection interval is shorter than the actually implemented inspection interval,and the corresponding maintenance cost is reduced by 23.3%.The result shows the feasibility and effectiveness of the proposed optimization method.

关键词： civil aircraft composite structure accidental impact damage failure probability inspection interval

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

Condition-based Maintenance Optimization for Gamma Deteriorating Systems under Performance-based Contracting

引用

Chinese Journal of Mechanical Engineering 2023年第1期36卷 34-50页

作者： Xi Zhu Liang Wen Juan Li Mingchang Song Qiwei Hu Army Engineering University of PLA ShijiazhuangChina

With the further development of service-oriented,performance-based contracting(PBC)has been widely adopted in industry and ***,maintenance optimization problems under PBC have not received enough *** further extend the scope of PBC’s application in the field of maintenance optimization,we investigate the condition-based maintenance(CBM)optimization for gamma deteriorating systems under *** the repairable single-component system subject to the gamma degradation process,this paper proposes a CBM optimization model to maximize the profit and improve system performance at a relatively low cost under *** the proposed CBM model,the first inspection interval has been considered in order to reduce the inspection frequency and the cost ***,a particle swarm algorithm(PSO)and related solution procedure are presented to solve the multiple decision variables in our proposed *** the end,a numerical example is provided so as to demonstrate the superiority of the presented *** comparing the proposed policy with the conventional ones,the superiority of our proposed policy is proved,which can bring more profits to providers and improve *** analysis is conducted in order to research the effect of corrective maintenance cost and time required for corrective maintenance on optimization policy.A comparative study is given to illustrate the necessity of distinguishing the first inspection interval or not.

关键词： Performance-based contracting Condition-based maintenance Gamma process Profit maximization inspection interval

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

Study of Optimal Frequency to the Repairable System Due to Failure Finding interval to Maximize Availability System

引用

Journal of Applied Mathematics and Physics 2023年第6期11卷 1795-1805页

作者： Emmanuel Hagenimana Charline Uwilingiyimana Umuraza Clarisse Department of Civil Engineering Institut d’Enseignement Supérieur de Ruhengeri Musanze Rwanda Department of Statistics Applied to Economy Institut d’Enseignement Supérieur de Ruhengeri Musanze Rwanda School of Economics Shandong University Qingdao China

This research article is based on a study of optimal frequency to the repairable system due to the failure finding interval to maximize as well as minimize the availability of some components devices. We studied together maintenance and corrective actions that carried out item of failure and periodic failure finding designed to check whether a system is still working. The model is proved as well as useful application in detecting the problem related to finding failure tasks of different scheme devices by maximization. The model formulated and the numerical application to the relevant mathematical model have been discussed to demonstrate the article quality. Therefore based on probability analytic development, the optimal maintenance policy is then obtained as solution of an optimization problem in which the maintenance cost rate is the objective function and the risk of corrective maintenance is the constraint function. Finally, the solution to the optimal device in the considered development model has been well adjusted due to derivation to the experimental observation rather than theory which will be taken into consideration in the next applied practical design research related and the system device provided that, the proactive device agreed with using the exponential distribution to the survive distribution function which can not be considered as valid.

关键词： Maximization Failure interval Repairable System inspection interval Availability System Optimal inspection

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

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

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

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：