Ensemble deep learning-based fault diagnosis of rotor bearing systems
Author:
Funder
National Nature Science Foundation of China
Publisher
Elsevier BV
Subject
General Engineering,General Computer Science
Reference56 articles.
1. Artificial intelligence for fault diagnosis of rotating machinery: a review;Liu;Mechan. Syst. Signal Process.,2018
2. Fault diagnostics based on particle swarm optimisation and support vector machines;Yuan;Mechan. Syst. Signal Process.,2007
3. Fault diagnosis based on support vector machines with parameter optimisation by artificial immunisation algorithm;Yuan;Mechan. Syst. Signal Process.,2007
4. Support vector machines-based fault diagnosis for turbo-pump rotor;Yuan;Mechan. Syst. Signal Process.,2006
5. Decision tree and PCA-based fault diagnosis of rotating machinery;Sun;Mechan. Syst. Signal Process.,2007
Cited by 117 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. Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing;Reliability Engineering & System Safety;2024-10
2. A probabilistic prediction model based on stacking ensemble learning for completion time in flexible shop-floor;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2024-09-14
3. Rolling Bearings Fault Diagnosis Based on Two-stage Signal Fusion and Deep Multi-scale Multi-sensor Network;ISA Transactions;2024-09
4. An efficient ultrasonic full-matrix imaging method for industrial curved-surface components defect detection;Advanced Engineering Informatics;2024-08
5. ResNet diagnosis of rotor faults in oil transfer pumps;Heliyon;2024-08
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