A Quality-Related Statistical Process Monitoring Method Based on Global plus Local Projection to Latent Structures
Author:
Affiliation:
1. The College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China
Funder
National Natural Science Foundation of China
State Key Laboratory of Management and Control for Complex Systems
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.7b04554
Reference32 articles.
1. Data-driven design of monitoring and diagnosis systems for dynamic processes: A review of subspace technique based schemes and some recent results
2. Data-driven model predictive quality control of batch processes
3. Quality-relevant fault detection and diagnosis for hot strip mill process with multi-specification and multi-batch measurements
4. A novel dynamic non-Gaussian approach for quality-related fault diagnosis with application to the hot strip mill process
5. A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
Cited by 27 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. Information Entropy-Based Fault Detection for Quality-Related Processes;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17
2. Quality-related process monitoring scheme based on neighborhood embedding canonical correlation analysis model;Journal of the Taiwan Institute of Chemical Engineers;2023-11
3. Plant‐wide processes monitoring and fault tracing based on causal graphical model;IET Control Theory & Applications;2023-10-06
4. Adversarial autoencoder concurrent projection to latent structure and its application;The Canadian Journal of Chemical Engineering;2023-06-20
5. Non-Gaussian Quality Relevant Process Monitoring Based on Higher-Order Statistics Projection to the Latent Structure and Independent Signal Correction;Industrial & Engineering Chemistry Research;2023-01-30
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