A Bearing Fault Diagnosis Method using Transfer Learning and Dempster-Shafer Evidence Theory
Author:
Affiliation:
1. University of Ulsan, Deahak-ro, Nam-gu Ulsan, South Korea
Publisher
ACM
Reference20 articles.
1. Rolling Bearing Fault Diagnosis Based on an Improved Denoising Method Using the Complete Ensemble Empirical Mode Decomposition and the Optimized Thresholding Operation
2. Dual-Impulse Response Model for the Acoustic Emission Produced by a Spall and the Size Evaluation in Rolling Element Bearings
3. Current Noise Cancellation for Bearing Fault Diagnosis Using Time Shifting
4. A novel approach for incipient defect detection in rolling bearings using acoustic emission technique
5. Fuzzy-pattern-classifier based sensor fusion for machine conditioning;Lohweg V.;Sens. Fusion its Appl.,2010
Cited by 5 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. Imbalanced fault classification of rolling bearing based on an improved oversampling method;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2023-03-29
2. Joint Use of Neural Networks and Evidence Theory Methods in Control and Diagnostic Fuzzy Systems;Scientific and Technical Information Processing;2022-12
3. Evolution Management of Multistage Manufacturing Based on Evidence Theory and Methods of Interval Analysis;Proceedings of the Sixth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’22);2022-10-31
4. Generation of Production Rules with Belief Functions to Train Fuzzy Neural Network in Diagnostic System;Lobachevskii Journal of Mathematics;2022-10
5. Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions;ISA Transactions;2022-01
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