Optimal inspection-based preventive maintenance policy for three-state mechanical components under competing failure modes
Author:
Funder
China Scholarship Council
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference33 articles.
1. Probabilistic models of cumulative damages;Boddanoff,1985
2. Preventive replacement for systems with condition monitoring and additional manual inspections;Wang;Eur J Oper Res,2015
3. Availability optimization for stochastic degrading systems under imperfect preventive maintenance;Khatab;Int J Prod Res,2014
4. Stochastic modelling and analysis of degradation for high reliable products;Ye;Appl Stoch Model Bus Ind,2015
5. An optimal condition-based maintenance policy for a degrading system subject to the competing risks of soft and hard failure;Tang;Comput Ind Eng,2015
Cited by 44 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
1. A dynamic maintenance policy for degradation system by state monitoring and deep reinforcement learning;Computers and Electrical Engineering;2024-11
2. Multi-Objective Inspection Optimization of Periodically Inspected Multi-Failure Mode System;International Journal of Reliability, Quality and Safety Engineering;2024-04
3. Remaining Useful Life Prediction Method by Integrating Two-Phase Accelerated Degradation Data and Field Information;IEEE Transactions on Instrumentation and Measurement;2024
4. Prognosis-driven reliability analysis and replacement policy optimization for two-phase continuous degradation;Reliability Engineering & System Safety;2023-02
5. Optimal sampling-based sequential inspection and maintenance plans for a heterogeneous product with competing failure modes;Reliability Engineering & System Safety;2022-02
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