Data-driven prognostics of rolling element bearings using a novel Error Based Evolving Takagi–Sugeno Fuzzy Model
Author:
Funder
Petrobras
Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
Elsevier BV
Subject
Software
Reference63 articles.
1. Condition-based maintenance optimization for multicomponent systems under imperfect repair—Based on RFAD model;Ma;IEEE Trans. Fuzzy Syst.,2019
2. A review on machinery diagnostics and prognostics implementing condition-based maintenance;Jardine;Mech. Syst. Signal Process.,2006
3. Particle filter-based prognostics: Review, discussion and perspectives;Jouin;Mech. Syst. Signal Process.,2016
4. A technical framework and roadmap of embedded diagnostics and prognostics for complex mechanical systems in prognostics and health management systems;Chen;IEEE Trans. Reliab.,2012
5. Machinery health prognostics: A systematic review from data acquisition to RUL prediction;Lei;Mech. Syst. Signal Process.,2018
Cited by 19 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. Multi-representation transferable attention network for remaining useful life prediction of rolling bearings under multiple working conditions;Measurement Science and Technology;2023-11-30
2. A Cauchy perturbation cuckoo search particle filtering algorithm for remaining useful life prediction of lithium-ion battery considering capacity regeneration;International Journal of Electrochemical Science;2023-10
3. A self-organizing fuzzy neural network with hybrid learning algorithm for nonlinear system modeling;Information Sciences;2023-09
4. Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries;Ionics;2023-06-06
5. An Overview of the State of the Art in Aircraft Prognostic and Health Management Strategies;IEEE Transactions on Instrumentation and Measurement;2023
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