Reliability Modeling of Products with Self-Recovery Features for Competing Failure Processes in Whole Life Cycle

Author:

Wang Xingang123,Wang Baoyan1,Niu Yiqun4,He Ziqiu1

Affiliation:

1. College of Mechanical and Electrical Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China

2. State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangzhou 510006, China

3. School of Mechanical and Electronic Engineering, Quanzhou University of Information Engineering, Quanzhou 362000, China

4. School of Mechanical Engineering, Liaoning Petrochemical University, Fushun 113001, China

Abstract

In light of the increasing demand for the reliability analysis of self-recovery products, with features of limited storage period and multistage degradation, a reliability evaluation model in whole life cycle is proposed. The degradation process comprises one storage phase and two working phases. On the basis of the idea of competitive failure, the shock process and the feature of self-recovery were introduced into the model. Furthermore, the problem of it being difficult to add variables to a reliability model is solved with the use of the Stieltjes integral. The influences of the parameters of model reliability are analyzed, and the results demonstrate that the new model could adequately describe the competing failure process. The model also exhibited certain feasibility and theoretical reference values.

Funder

Projects of Talents Recruitment of GDUPT

State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment

Special Project in Key fields of the General Universities of Guangdong Province

Natural Science Foundation of Hebei Province

Natural Science Foundation of Fujian Province

CAST-BISEE

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3