Design, modelling, optimisation and validation of condition-based maintenance in IoT enabled hybrid flow shop
Author:
Affiliation:
1. Centre for AI, IoT and Robotics, Department of Mechanical Engineering, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, India
Funder
Ministry of Electronics and Information Technology (MeitY), Government of India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2022.2028011
Reference29 articles.
1. Enabling condition-based maintenance decisions with proactive event-driven computing
2. Health-State Estimation and Prognostics in Machining Processes
3. Manufacturing Systems Modeling and Analysis
4. Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges
5. Imperfect preventive maintenance optimization for flexible flowshop manufacturing cells considering sequence-dependent group scheduling
Cited by 7 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. Investigation on the influence of a new trapezoidal-triangular membership function in IT2FLS with type-reductions for a manufacturing application;Journal of Intelligent & Fuzzy Systems;2024-01-10
2. PREDICTION OF RECEIVED SIGNAL STRENGTH USING THE FUZZY LOGIC CONTROLLER FOR LOCALISATION OF SENSORS IN MOBILE ROBOTS, 302-311.;International Journal of Robotics and Automation;2024
3. A predictive maintenance approach in manufacturing systems via AI-based early failure detection;Manufacturing Letters;2023-08
4. Integrating TPM and Industry 4.0 to Increase the Availability of Industrial Assets: A Case Study on a Conveyor Belt;Processes;2023-06-28
5. In-process monitoring of the ultraprecision machining process with convolution neural networks;International Journal of Computer Integrated Manufacturing;2023-06-27
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