A predictive model for the maintenance of industrial machinery in the context of industry 4.0-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A predictive model for the maintenance of industrial machinery in the context of industry 4.0

Published:2020-01 Issue: Volume:87 Page:103289
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Ruiz-Sarmiento Jose-Raul,Monroy Javier,Moreno Francisco-Angel,Galindo Cipriano,Bonelo Jose-Maria,Gonzalez-Jimenez Javier

Funder

SiMoDiM, Spain

WISER, Spain

Spanish Ministry of Industry, Energy and Tourism

Ministry of Economy, Industry and Competitiveness, Spain

University of Málaga, Spain

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference67 articles.

1. Introduction To Machine Learning;Alpaydin,2009

2. Amruthnath, N., Gupta, T., 2018. A research study on unsupervised machine learning algorithms for early fault detection in predictive maintenance. In: 5th International Conference on Industrial Engineering and Applications.

3. A survey of cross-validation procedures for model selection;Arlot;Stat. Surv.,2010

4. The internet of things: A survey;Atzori;Comput. Netw.,2010

Cited by 118 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. Industry 4.0 and cleaner production: A comprehensive review of sustainable and intelligent manufacturing for energy-intensive manufacturing industries;Journal of Cleaner Production;2024-08

2. A novel deep ensemble reinforcement learning based control method for strip flatness in cold rolling steel industry;Engineering Applications of Artificial Intelligence;2024-08

3. Simulation of Hospital Waste Supply Chain in the Context of Industry 4.0—A Systematic Literature Review;Sustainability;2024-07-19

4. A conceptual framework for machine learning algorithm selection for predictive maintenance;Engineering Applications of Artificial Intelligence;2024-07

5. Industry 4.0 Competencies and Sustainable Manufacturing Performance in the Context of Manufacturing SMEs: A Systematic Literature Review;Sage Open;2024-07

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

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