A Novel Robust Dual Unscented Particle Filter Method for Remaining Useful Life Prediction of Rolling Bearings
Author:
Affiliation:
1. Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, Chao Yang, China
2. College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, Chao Yang, China
Funder
National Natural Science Foundation of China
Beijing Municipal Natural Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/19/10367905/10385053.pdf?arnumber=10385053
Reference34 articles.
1. A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication
2. Machinery health prognostics: A systematic review from data acquisition to RUL prediction
3. Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings
4. Fault diagnosis of offshore wind turbines based on component separable synchroextracting transform
5. A novel prediction network for remaining useful life of rotating machinery
Cited by 11 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. Heterogeneous graph representation-driven multiplex aggregation graph neural network for remaining useful life prediction of bearings;Mechanical Systems and Signal Processing;2024-11
2. Hybrid Method for Remaining Useful Life Prediction of Power IGBT Modules in High-Speed Trains;IEEE Transactions on Power Electronics;2024-11
3. An Adaptive Sparse Graph Learning Method Based on Digital Twin Dictionary for Remaining Useful Life Prediction of Rolling Element Bearings;IEEE Transactions on Industrial Informatics;2024-09
4. Patch ModernTCN-Mixer: a dual-task temporal convolutional network framework for hybrid implementation of first prediction time detection and remaining useful life prognosis;Measurement Science and Technology;2024-08-20
5. A novel adaptive generalized domain data fusion-driven kernel sparse representation classification method for intelligent bearing fault diagnosis;Expert Systems with Applications;2024-08
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