A deep reinforcement learning-based intelligent fault diagnosis framework for rolling bearings under imbalanced datasets
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation for Young Scientists of Shanxi Province
Publisher
Elsevier BV
Reference37 articles.
1. Few-shot fault diagnosis of rolling bearing under variable working conditions based on ensemble meta-learning;Che;Digital Signal Processing,2022
2. Fault diagnosis of rolling bearings based on an improved stack autoencoder and support vector machine;Cui;IEEE Sensors Journal,2021
3. Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model;Ding;Reliability Engineering & System Safety,2023
4. Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties;Elsisi;Measurement,2022
5. A survey on deep learning based bearing fault diagnosis;Hoang;Neurocomputing,2019
Cited by 2 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. Insights into modern machine learning approaches for bearing fault classification: A systematic literature review;Results in Engineering;2024-09
2. Imbalanced Learning for Gearbox Fault Detection via Attention-Based Multireceptive Field Convolutional Neural Networks With an Adaptive Label Regulation Loss;IEEE Transactions on Instrumentation and Measurement;2024
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