Fault Diagnosis of Wind Turbine Gearbox Based on Multiscale Residual Features and ECA-Stacked ResNet
Author:
Affiliation:
1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
2. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China
Funder
National Science Fund for Distinguished Young Scholars
Fundamental Research Funds for the Central Universities
Shandong Province Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10089784/10048773.pdf?arnumber=10048773
Reference37 articles.
1. Generalized composite multiscale permutation entropy and Laplacian score based rolling bearing fault diagnosis
2. Feature selection for manufacturing process monitoring using cross-validation
3. Multivariate refined composite multiscale entropy analysis
4. Sound Based Fault Diagnosis for RPMs Based on Multi-Scale Fractional Permutation Entropy and Two-Scale Algorithm
5. Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD
Cited by 11 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. MC-ABDS: A system for low SNR fault diagnosis in industrial production with intense overlapping and interference;Applied Acoustics;2025-01
2. Squeeze‐and‐excitation attention residual learning of propulsion fault features for diagnosing autonomous underwater vehicles;Journal of Field Robotics;2024-07-31
3. Boosting efficient attention assisted cyclic adversarial auto-encoder for rotating component fault diagnosis under low label rates;Engineering Applications of Artificial Intelligence;2024-07
4. Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks;Neurocomputing;2024-04
5. Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data;Engineering Applications of Artificial Intelligence;2024-03
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