Process fault detection based on dynamic kernel slow feature analysis
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering
Reference25 articles.
1. A review of process fault detection and diagnosis part III: process history based methods;Venkatasubramanian;Comput Chem Eng,2003
2. A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process;Yin;J Process Control,2012
3. Survey on data-driven industrial process monitoring and diagnosis;Qin;Ann Rev Control,2012
4. Fault detection and diagnosis in industrial system;Chiang,2003
5. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis;Chiang;Chemometr Intell Lab Syst,2000
Cited by 42 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. Wasserstein local slow feature analysis and its application to process monitoring;Measurement Science and Technology;2024-06-20
2. GELU‐LSTM‐encoder‐decoder fault prediction for batch processes based on the global–local percentile method;The Canadian Journal of Chemical Engineering;2024-01-11
3. Adaptive online optimization of alarm thresholds using multilayer Bayesian networks and active transfer entropy;Control Engineering Practice;2023-08
4. Fault Detection in Wastewater Treatment Process Using Broad Slow Feature Neural Network With Incremental Learning Ability;IEEE Transactions on Industrial Informatics;2023
5. Incipient fault detection of nonlinear chemical processes based on probability-related randomized slow feature analysis;Process Safety and Environmental Protection;2023-01
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