An efficient approach based on a novel 1D-LBP for the detection of bearing failures with a hybrid deep learning method-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An efficient approach based on a novel 1D-LBP for the detection of bearing failures with a hybrid deep learning method

Published:2024-04 Issue: Volume:155 Page:111438
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Kaya Yılmaz,Kuncan Melih,Akcan Eyyüp,Kaplan Kaplan^ORCID

Funder

Kocaeli Üniversitesi

Publisher

Elsevier BV

Reference26 articles.

1. A new feature extraction approach based on one dimensional gray level co-occurrence matrices for bearing fault classification;Kaya;J. Exp. Theor. Artif. Intell.,2021

2. A new automatic bearing fault size diagnosis using time-frequency i̇mages Of CWT and deep transfer learning methods;Kaya;Turk. J. Electr. Eng. Comput. Sci.,2022

3. A novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis;Wan;Measurement,2022

4. An intelligent approach for bearing fault diagnosis: combination of 1D-LBP and GRA;Kuncan;IEEE Access,2020

5. Bearing fault diagnosis under various conditions using an i̇ncremental learning-based multi-task shared classifier;Wang;Knowl. Based Syst.,2023

Cited by 3 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. Intelligent diagnosis method of torque-angle dynamometer cards for beam pumping units based on transfer learning;Geoenergy Science and Engineering;2024-10

2. Insights into modern machine learning approaches for bearing fault classification: A systematic literature review;Results in Engineering;2024-09

3. Cost effective detection of uneven mounting fault in rotary wing drone motors with a CNN based method;Signal, Image and Video Processing;2024-08-12

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