标题
New online kernel method with the Tabu search algorithm for process monitoring
作者
关键词
-
出版物
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
Volume -, Issue -, Pages 014233121880727
出版商
SAGE Publications
发表日期
2018-11-12
DOI
10.1177/0142331218807271
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Online reduced kernel principal component analysis for process monitoring
- (2018) Radhia Fezai et al. JOURNAL OF PROCESS CONTROL
- A new fault detection index based on Mahalanobis distance and kernel method
- (2017) Hajer Lahdhiri et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A new fault detection method for nonlinear process monitoring
- (2016) Radhia Fazai et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Kernel principal component analysis with reduced complexity for nonlinear dynamic process monitoring
- (2016) Ines Jaffel et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Moving window KPCA with reduced complexity for nonlinear dynamic process monitoring
- (2016) Ines Jaffel et al. ISA TRANSACTIONS
- Ozone measurements monitoring using data-based approach
- (2016) Fouzi Harrou et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Comparison of linear and nonlinear dimension reduction techniques for automated process monitoring of a decentralized wastewater treatment facility
- (2016) Karen Kazor et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- New fault detection method based on reduced kernel principal component analysis (RKPCA)
- (2015) Okba Taouali et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Dimensionality reduction of RKHS model parameters
- (2015) Okba Taouali et al. ISA TRANSACTIONS
- A new online fault detection method based on PCA technique
- (2013) I. Jaffel et al. IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION
- Stochastic representation and dimension reduction for non-Gaussian random fields: review and reflection
- (2013) Heng Li et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Dynamic processes monitoring using recursive kernel principal component analysis
- (2012) Yingwei Zhang et al. CHEMICAL ENGINEERING SCIENCE
- Online Kernel Principal Component Analysis: A Reduced-Order Model
- (2011) P. Honeine IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Improved nonlinear process monitoring using KPCA with sample vector selection and combined index
- (2011) C. Sumana et al. Asia-Pacific Journal of Chemical Engineering
- Online identification of nonlinear system using reduced kernel principal component analysis
- (2010) Okba Taouali et al. NEURAL COMPUTING & APPLICATIONS
- Moving window kernel PCA for adaptive monitoring of nonlinear processes
- (2009) Xueqin Liu et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Fault Detection and Isolation with Robust Principal Component Analysis
- (2009) Yvon Tharrault et al. International Journal of Applied Mathematics and Computer Science
- Improved nonlinear fault detection technique and statistical analysis
- (2008) Yingwei Zhang et al. AICHE JOURNAL
- Enhanced statistical analysis of nonlinear processes using KPCA, KICA and SVM
- (2008) Yingwei Zhang CHEMICAL ENGINEERING SCIENCE
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