Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference44 articles.
1. Sustainable manufacturing, maintenance policies, prognostics and health management: a literature review;Vrignat;Reliab Eng Syst Saf,2022
2. A long short-term memory neural network based Wiener process model for remaining useful life prediction;Chen;Reliab Eng Syst Saf,2022
3. Remaining useful life prediction of rolling bearings using an enhanced particle filter;Qian;IEEE Trans Instrum Meas,2015
4. A predictive sliding local outlier correction method with adaptive state change rate determining for bearing remaining useful life estimation;Wang;Reliab Eng Syst Saf,2022
5. Failure prognosis and applications-a survey of recent literature;Kordestani;IEEE Trans Reliab,2019
Cited by 16 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. Robust prediction of remaining useful lifetime of bearings using deep learning;Engineering Applications of Artificial Intelligence;2024-04
2. Research on vehicle speed prediction model based on traffic flow information fusion;Energy;2024-04
3. A deep reinforcement learning-based intelligent fault diagnosis framework for rolling bearings under imbalanced datasets;Control Engineering Practice;2024-04
4. A novel machinery RUL prediction method based on exponential model and cross-domain health indicator considering first-to-end prediction time;Mechanical Systems and Signal Processing;2024-03
5. RUL prediction of rolling bearings across working conditions based on multi-scale convolutional parallel memory domain adaptation network;Reliability Engineering & System Safety;2024-03
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