Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis

Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference

(2016) Qingchao Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Survey on data-driven industrial process monitoring and diagnosis

(2012) S. Joe Qin   ANNUAL REVIEWS IN CONTROL

A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process

(2012) Shen Yin et al.   JOURNAL OF PROCESS CONTROL

Kernel Sparse Representation-Based Classifier

(2011) Li Zhang et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Intelligent ICA–SVM fault detector for non-Gaussian multivariate process monitoring

(2009) Chun-Chin Hsu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine

(2009) Zongben Xu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Fault detection and diagnosis in process data using one-class support vector machines

(2009) Sankar Mahadevan et al.   JOURNAL OF PROCESS CONTROL

Robust and efficient multiclass SVM models for phrase pattern recognition

(2008) Yu-Chieh Wu et al.   PATTERN RECOGNITION

Multiclass SVM-RFE for product form feature selection

(2007) M SHIEH et al.   EXPERT SYSTEMS WITH APPLICATIONS