An intelligent fault diagnosis method for roller bearing using symplectic hyperdisk matrix machine-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An intelligent fault diagnosis method for roller bearing using symplectic hyperdisk matrix machine

Published:2021-07 Issue: Volume:105 Page:107284
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Pan Haiyang,Zheng Jinde

Funder

Ministry of Education of the People's Republic of China

Anhui University of Technology

University Natural Science Research Project of Anhui Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference29 articles.

1. Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and gath–geva clustering algorithm without principal component analysis and data label;Xu;Appl. Soft Comput.,2018

2. Reconstruction of angular speed variations in the angular domain to diagnose and quantify taper roller bearing outer race fault;Bourdon;Mech. Syst. Signal Process.,2019

3. Total variation on horizontal visibility graph and its application to rolling bearing fault diagnosis;Gao;Mech. Mach. Theory,2020

4. Fault diagnosis of planetary gearbox under variable-speed conditions using an improved adaptive chirp mode decomposition;Chen;J. Sound Vib.,2020

5. Nonlinear sparse mode decomposition and its application in planetary gearbox fault diagnosis;Pan;Mech. Mach. Theory,2021

Cited by 17 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. Parallel quantized dual-level fully connected classifier for bearing fault diagnosis;Engineering Applications of Artificial Intelligence;2024-10

2. Optimal margin distribution matrix machine;Expert Systems with Applications;2024-04

3. Weight-Based Large Margin Hyperdisks for Explainable Performance Degradation Modeling;IEEE Transactions on Instrumentation and Measurement;2024

4. Sparsity preserving projection aided baselined hyperdisk modeling for interpretable machine health monitoring;Mechanical Systems and Signal Processing;2023-10

5. Multiscale reduction clustering of vibration signals for unsupervised diagnosis of machine faults;Applied Soft Computing;2023-07

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