Condition Monitoring in a Wind Turbine Planetary Gearbox Using Sensor Fusion and Convolutional Neural Network
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference22 articles.
1. Vibration based fault detection in wind turbines using machine learning;Amin,2022
2. The spectral kurtosis: a useful tool for characterising non-stationary signals;Antoni;Mechanical systems and signal processing,2006
3. Fast computation of the kurtogram for the detection of transient faults;Antoni;Mechanical Systems and Signal Processing,2007
4. Cyclic spectral analysis in practice;Antoni;Mechanical Systems and Signal Processing,2007
5. Rolling bearing fault diagnosis based on multi-channel convolution neural network and multi-scale clipping fusion data augmentation;Bai;Measurement,2021
Cited by 5 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. Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis;Information Fusion;2024-08
2. Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data;Engineering Applications of Artificial Intelligence;2024-03
3. Wind Turbine Gearbox Early Fault Detection Using Mel‐Frequency Cepstral Coefficients of Vibration Data;Structural Control and Health Monitoring;2024-01
4. Hyperparameter Optimization on CNN Using Hyperband for Fault Identification in Wind Turbine High-Speed Shaft Gearbox Bearing;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16
5. Zero-Speed Start-Up of a 3 MW DFIG Wind Turbine Model: Mechanical and Electrical Hardware-In-the-Loop Co-Simulation;2023 8th IEEE Workshop on the Electronic Grid (eGRID);2023-10-16
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