Box-Cox transformation based state-space modeling as a unified prognostic framework for degradation linearization and RUL prediction enhancement-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Box-Cox transformation based state-space modeling as a unified prognostic framework for degradation linearization and RUL prediction enhancement

Published:2024-04 Issue: Volume:244 Page:109952
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Liu Jie,Hou Bingchang,Lu Ming,Wang Dong^ORCID

Publisher

Elsevier BV

Reference30 articles.

1. Remaining useful life estimation – a review on the statistical data driven approaches;Si;Eur J Oper Res,2011

2. Residual-life distributions from component degradation signals: a Bayesian approach;Gebraeel;IIE Transactions,2005

3. Multi-sensor data-driven remaining useful life prediction of semi-observable systems;Li;IEEE Trans Ind Electron,2021

4. Dynamic linear degradation model: dealing with heterogeneity in degradation paths;Veloso;Reliab Eng Syst Saf,2021

5. Piecewise model based intelligent prognostics for state of health prediction of rechargeable batteries with capacity regeneration phenomena;Wang;Measurement,2019

Cited by 5 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 core space gradient projection-based continual learning framework for remaining useful life prediction of machinery under variable operating conditions;Reliability Engineering & System Safety;2024-12

2. Multi-task learning mixture density network for interval estimation of the remaining useful life of rolling element bearings;Reliability Engineering & System Safety;2024-11

3. Remaining useful life prediction based on multi-stage Wiener process and Bayesian information criterion;Computers & Industrial Engineering;2024-10

4. Remaining useful life prediction for stochastic degrading devices incorporating quantization;Reliability Engineering & System Safety;2024-10

5. ENHANCING OPERATIONAL EFFICIENCY IN INDUSTRY 4.0: A PREDICTIVE MAINTENANCE APPROACH;Herald of the Kazakh-British technical university;2024-06-30

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