Bearing Fault Diagnosis Method Based on Multiple-Level Feature Tensor Fusion-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Bearing Fault Diagnosis Method Based on Multiple-Level Feature Tensor Fusion

Published:2024-07-15 Issue:14 Volume:24 Page:23108-23116
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wang Daichao¹,Li Yibin¹^ORCID,Song Yan¹^ORCID,Zhuang Yinghao¹

Affiliation:

1. Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Natural Science Foundation of Qingdao City

Qingdao Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10599846/10531142.pdf?arnumber=10531142

Reference32 articles.

1. Enhanced Sparse Period-Group Lasso for Bearing Fault Diagnosis

2. A Motor Current Signal-Based Bearing Fault Diagnosis Using Deep Learning and Information Fusion

3. Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network

4. Estimation of railway vehicle suspension parameters for condition monitoring

5. Intelligent Mechanical Fault Diagnosis Using Multisensor Fusion and Convolution Neural Network

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