Exploring evolutionary-tuned autoencoder-based architectures for fault diagnosis in a wind turbine gearbox-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Exploring evolutionary-tuned autoencoder-based architectures for fault diagnosis in a wind turbine gearbox

Published:2024-06-11 Issue: Volume: Page:1-21
ISSN:2308-0477
Container-title:Smart Science
language:en
Short-container-title:Smart Science

Author:

Gbashi Samuel M.¹^ORCID,Olatunji Obafemi O.¹²,Adedeji Paul A.¹²,Madushele Nkosinathi¹³

Affiliation:

1. Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg, South Africa

2. Process Energy and Environmental Technology Station (PEETS), University of Johannesburg, Johannesburg, South Africa

3. Department of Mechanical Engineering, Durban University of Technology, Durban, South Africa

Funder

University of Johannesburg and the National Research Foundation

Department of Energy/National Renewable Energy Laboratory

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23080477.2024.2364537

Reference87 articles.

1. Gbashi SM Adedeji PA. Hyperparameter optimization on CNN using hyperband for fault identification in wind turbine high-speed shaft gearbox bearing. 2023 November;16–17.

2. Non-Invasive Inspections: A Review on Methods and Tools

3. Enhanced Fault Detection of Wind Turbine Using eXtreme Gradient Boosting Technique Based on Nonstationary Vibration Analysis

4. Application of Discrete Wavelet Transform for Condition Monitoring and Fault Detection in Wind Turbine Blades: An Experimental Study

5. Multi-sensor fusion fault diagnosis method of wind turbine bearing based on adaptive convergent viewable neural networks

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