A Kernel Time Structure Independent Component Analysis Method for Nonlinear Process Monitoring
Author:
Publisher
Elsevier BV
Subject
General Chemical Engineering,General Chemistry,Biochemistry,Environmental Engineering
Reference33 articles.
1. Hidden Markov model based adaptive independent component analysis approach for complex chemical process monitoring and fault detection;Rashid;Ind. Eng. Chem. Res.,2012
2. A multi-level approach for complex fault isolation based on structured residuals;Ye;Chin. J. Chem. Eng.,2011
3. Nonlinear process monitoring based on linear subspace and Bayesian inference;Ge;J. Process Control,2010
4. A new fault detection method for non-Gaussian process based on robust independent component analysis;Cai;Process. Saf. Environ. Protect.,2014
5. Online supervision of Penicillin cultivations based on rolling MPCA;Wang;Chin. J. Chem. Eng.,2007
Cited by 9 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. Fault diagnosis of microbial pharmaceutical fermentation process with non-Gaussian and nonlinear coexistence;Chemometrics and Intelligent Laboratory Systems;2020-04
2. A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring;Processes;2019-12-23
3. Process Fault Diagnosis for Continuous Dynamic Systems Over Multivariate Time Series;Time Series Analysis - Data, Methods, and Applications;2019-11-06
4. Multiphase batch process monitoring based on higher‐order cumulant analysis;The Canadian Journal of Chemical Engineering;2019-10-23
5. Hybrid independent component analysis (H-ICA) with simultaneous analysis of high-order and second-order statistics for industrial process monitoring;Chemometrics and Intelligent Laboratory Systems;2019-02
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