A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A novel deep convolutional neural network-bootstrap integrated method for RUL prediction of rolling bearing

Published:2021-10 Issue: Volume:61 Page:757-772
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Huang Cheng-Geng,Huang Hong-Zhong,Li Yan-Feng,Peng Weiwen

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference38 articles.

1. Data-driven smart manufacturing;Tao;J Manuf Syst,2018

2. Big data for modern industry: challenges and trends [point of view];Yin;Proc IEEE,2015

3. Industrial data management strategy towards an SME-oriented PHM;Omri;J Manuf Syst,2020

4. A dynamic-Bayesian-network-based fault diagnosis methodology considering transient and intermittent faults;Cai;IEEE Trans Autom Sci Eng,2017

5. Bayesian networks in fault diagnosis;Cai;IEEE Trans Ind Inform,2017

Cited by 115 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. Adaptive early initial degradation point detection and outlier correction for bearings;Computers in Industry;2025-01

2. Condition monitoring based on corrupted multiple time series with common trends;Reliability Engineering & System Safety;2024-11

3. Wear prediction of high performance rolling bearing based on 1D-CNN-LSTM hybrid neural network under deep learning;Heliyon;2024-09

4. A hybrid method combining Lévy process and neural network for predicting remaining useful life of rotating machinery;Advanced Engineering Informatics;2024-08

5. Remaining useful life prediction of machinery based on performance evaluation and online cross-domain health indicator under unknown working conditions;Journal of Manufacturing Systems;2024-08

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