Intelligent fault diagnosis of rolling bearings with low-quality data: A feature significance and diversity learning method
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference45 articles.
1. A multi-layer spiking neural network-based approach to bearing fault diagnosis;Zuo;Reliab Eng Syst Saf,2022
2. Prognostics and health management: a review of vibration based bearing and gear health indicators;Wang;IEEE Access,2018
3. 2MNet: multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing;Guan;Reliab Eng Syst Saf,2021
4. Bearing fault detection and diagnosis using case western reserve university dataset with deep learning approaches: A review;Neupane;IEEE Access,2020
5. A review on data-driven fault severity assessment in rolling bearings;Cerrada;Mechanical Systems and Signal Processing,2018
Cited by 25 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. Open-set domain adaptive fault diagnosis based on supervised contrastive learning and a complementary weighted dual adversarial network;Mechanical Systems and Signal Processing;2025-01
2. The loose slipper fault diagnosis of variable-displacement pumps under time-varying operating conditions;Reliability Engineering & System Safety;2024-12
3. A novel transformer-based few-shot learning method for intelligent fault diagnosis with noisy labels under varying working conditions;Reliability Engineering & System Safety;2024-11
4. Remaining useful life prediction with uncertainty quantification based on multi-distribution fusion structure;Reliability Engineering & System Safety;2024-11
5. Temporal self-supervised domain adaptation network for machinery fault diagnosis under multiple non-ideal conditions;Reliability Engineering & System Safety;2024-11
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