An efficient ICA-DW-SVDD fault detection and diagnosis method for non-Gaussian processes

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(2015)   CANADIAN JOURNAL OF CHEMICAL ENGINEERING

Optimizing kernel methods to reduce dimensionality in fault diagnosis of industrial systems

(2015) José Manuel Bernal de Lázaro et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Quality Prediction in Complex Batch Processes with Just-in-Time Learning Model Based on Non-Gaussian Dissimilarity Measure

(2015) Xinmin Zhang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Loading-Based Principal Component Selection for PCA Integrated with Support Vector Data Description

(2015) Bei Wang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Digital watermark extraction using support vector machine with principal component analysis based feature reduction

(2015) Vivek Singh Verma et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Envelope extraction based dimension reduction for independent component analysis in fault diagnosis of rolling element bearing

(2014) Yu Guo et al.   JOURNAL OF SOUND AND VIBRATION

Performance-driven ensemble learning ICA model for improved non-Gaussian process monitoring

(2013) Zhiqiang Ge et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)

(2013) Tiago J. Rato et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Review of Recent Research on Data-Based Process Monitoring

(2013) Zhiqiang Ge et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Independent component analysis-based non-Gaussian process monitoring with preselecting optimal components and support vector data description

(2013) Qingchao Jiang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Bagging support vector data description model for batch process monitoring

(2013) Zhiqiang Ge et al.   JOURNAL OF PROCESS CONTROL

Non-Gaussian chemical process monitoring with adaptively weighted independent component analysis and its applications

(2013) Qingchao Jiang et al.   JOURNAL OF PROCESS CONTROL

Independent Components Analysis with the JADE algorithm

(2013) D.N. Rutledge et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Fault diagnosis of Tennessee Eastman process with multi-scale PCA and ANFIS

(2012) C.K. Lau et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Independent components analysis applied to 3D-front-face fluorescence spectra of edible oils to study the antioxidant effect of Nigella sativa L. extract on the thermal stability of heated oils

(2011) Faten Ammari et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Variable window adaptive Kernel Principal Component Analysis for nonlinear nonstationary process monitoring

(2011) Issam Ben Khediri et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Batch process monitoring based on support vector data description method

(2011) Zhiqiang Ge et al.   JOURNAL OF PROCESS CONTROL

Integrating independent component analysis and support vector machine for multivariate process monitoring

(2010) Chun-Chin Hsu et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Fault detection based on Kernel Principal Component Analysis

(2010) Viet Ha Nguyen et al.   ENGINEERING STRUCTURES

A process monitoring scheme based on independent component analysis and adjusted outliers

(2009) Chun-Chin Hsu et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Online monitoring of nonlinear multiple mode processes based on adaptive local model approach

(2008) Zhiqiang Ge et al.   CONTROL ENGINEERING PRACTICE

Fault Detection and Diagnosis of Nonlinear Processes Using Improved Kernel Independent Component Analysis (KICA) and Support Vector Machine (SVM)

(2008) Yingwei Zhang   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH