A feature extraction and machine learning framework for bearing fault diagnosis
Author:
Funder
U.S. Department of Energy
National Science Foundation
Publisher
Elsevier BV
Subject
Renewable Energy, Sustainability and the Environment
Reference46 articles.
1. A probabilistic method for determining grid-accommodable wind power capacity based on multiscenario system operation simulation;Xu;IEEE Trans. Smart Grid,2016
2. Using high-frequency scada data for wind turbine performance monitoring: a sensitivity study;Gonzalez;Renew. Energy,2019
3. Availability, operation and maintenance costs of offshore wind turbines with different drive train configurations;Carroll;Wind Energy,2017
4. Operation and maintenance costs compared and revealed;Milborrow;Wind Stats,2006
5. The structure healthy condition monitoring and fault diagnosis methods in wind turbines: a review;Liu;Renew. Sustain. Energy Rev.,2015
Cited by 25 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. A broad learning model guided by global and local receptive causal features for online incremental machinery fault diagnosis;Expert Systems with Applications;2024-07
2. A universal hydraulic-mechanical diagnostic framework based on feature extraction of abnormal on-field measurements: Application in micro pumped storage system;Applied Energy;2024-03
3. New health indicators for the monitoring of bearing failures under variable loads;Structural Health Monitoring;2024-01-12
4. Fuzzy clustering for feature extraction in wavelet-based fault gear identification of electrical machines;Journal of Intelligent & Fuzzy Systems;2024-01-10
5. Machine learning applications in health monitoring of renewable energy systems;Renewable and Sustainable Energy Reviews;2024-01
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