A Wiener Process Model With Dynamic Covariate for Degradation Modeling and Remaining Useful Life Prediction
Author:
Affiliation:
1. School of Management, Shanghai University, Shanghai, China
2. Business School, Manchester Metropolitan University, Manchester, U.K.
3. School of Economics and Management, University of Science and Technology Beijing, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/24/10057590/09765626.pdf?arnumber=9765626
Reference43 articles.
1. Remaining useful life estimation using an inverse Gaussian degradation model
2. A Wiener-Process-Model-Based Method for Remaining Useful Life Prediction Considering Unit-to-Unit Variability
3. A General Stochastic Degradation Modeling Approach for Prognostics of Degrading Systems With Surviving and Uncertain Measurements
4. Exponential-Dispersion Degradation Process Models With Random Effects and Covariates
5. Optimal Two-Variable Accelerated Degradation Test Plan for Gamma Degradation Processes
Cited by 39 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. Electrochemical performance monitoring and degradation modeling method for organic coating systems: Integrating three-phase Wiener process and kinetic models;Measurement;2025-01
2. A hybrid battery degradation model combining arrhenius equation and neural network for capacity prediction under time-varying operating conditions;Reliability Engineering & System Safety;2024-12
3. Degradation modeling and remaining life prediction for a multi-component system under triple uncertainties;Computers & Industrial Engineering;2024-09
4. Remaining useful life prediction and cycle life test optimization for multiple-formula battery: A method based on multi-source transfer learning;Reliability Engineering & System Safety;2024-09
5. An Uncertain Random Process-Based Degradation Model for Remaining Useful Life Prediction Considering Triple Uncertainty;IEEE Transactions on Circuits and Systems II: Express Briefs;2024-09
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