Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Polymers and Plastics,Mechanical Engineering,Mechanics of Materials
Link
http://link.springer.com/article/10.1007/s40436-017-0203-8/fulltext.html
Reference40 articles.
1. Deng P, Ren G, Yuan W et al (2015) An integrated framework of formal methods for interaction behaviors among industrial equipments. Microprocess Microsyst 39:1296–1304
2. Henriquez P, Alonso JB, Ferrer MA et al (2014) Review of automatic fault diagnosis systems using audio and vibration signals. IEEE Trans Syst Man Cybern Syst 44:642–652
3. Zhao C (2014) Fault subspace selection and analysis of relative changes based reconstruction modeling for multi-fault diagnosis. In: The 26th Chinese, control and decision conference (2014 CCDC), Changsha, pp 235–240
4. Movahhedy MR, Mosaddegh P (2006) Prediction of chatter in high speed milling including gyroscopic effects. Int J Mach Tools Manuf 46:996–1001
5. Affonso LOA (2013) Machinery failure analysis handbook: sustain your operations and maximize uptime. Gulf Publishing Company, Houston
Cited by 174 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. FUCOM-optimization based predictive maintenance strategy using expert elicitation and Artificial Neural Network;Expert Systems with Applications;2024-03
2. Industry 5.0 and sustainable manufacturing: a systematic literature review;Benchmarking: An International Journal;2024-02-05
3. Dynamic joint sensor selection and maintenance optimization in partially observable deteriorating systems;Computers & Industrial Engineering;2024-01
4. Dynamic Model-Embedded Intelligent Machine Fault Diagnosis Without Fault Data;IEEE Transactions on Industrial Informatics;2023-12
5. Immune system inspired smart maintenance framework: Tool wear monitoring use case;2023-11-21
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