Cloud-Edge Collaborative Method for Industrial Process Monitoring Based on Error-Triggered Dictionary Learning
Author:
Affiliation:
1. School of Automation, Central South University, Changsha, China
2. National Engineering Laboratory for Big Data Software, Tsinghua University, Beijing, China
3. BNRist, Tsinghua University, Beijing, China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Peng Cheng Laboratory
Science and Technology Innovation Program of Hunan Province
Innovation Driven Plan in Central South University
Higher Education Discipline Innovation Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/9906876/09740499.pdf?arnumber=9740499
Reference29 articles.
1. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
2. Label Consistent K-SVD: Learning a Discriminative Dictionary for Recognition
3. Discriminative K-SVD for dictionary learning in face recognition
4. Machine Fault Diagnosis of Fused Filament Fabrication Process with Physics-Constrained Dictionary Learning
5. Nonlinear process monitoring using kernel dictionary learning with application to aluminum electrolysis process
Cited by 43 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 cloud–edge collaboration based quality-related hierarchical fault detection framework for large-scale manufacturing processes;Expert Systems with Applications;2024-12
2. Performance-driven closed-loop optimization and control for smart manufacturing processes in the cloud-edge-device collaborative architecture: A review and new perspectives;Computers in Industry;2024-11
3. Incipient fault detection for dynamic processes with canonical variate residual statistics analysis;Chemometrics and Intelligent Laboratory Systems;2024-09
4. Variational autoencoder based on knowledge sharing and correlation weighting for process-quality concurrent fault detection;Engineering Applications of Artificial Intelligence;2024-07
5. Artificial intelligence and edge computing for machine maintenance-review;Artificial Intelligence Review;2024-04-15
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