New fault detection method based on reduced kernel principal component analysis (RKPCA)

References

Page 1

	Year	Citations
Nonlinear Component Analysis as a Kernel Eigenvalue Problem Bernhard Schölkopf, Alexander J. Smola, Klaus‐Robert Müller Neural Computation Image AnalysisMachine LearningData ScienceMachine VisionPattern Recognition	1998	8K
Multivariate SPC Charts for Monitoring Batch Processes Paul Nomikos, John F. MacGregor Technometrics EngineeringIndustrial EngineeringControl ChartsProcess SafetyFinite Duration	1995	1.4K
Nonlinear process monitoring using kernel principal component analysis Jong‐Min Lee, ChangKyoo Yoo, Sang Wook Choi, Chemical Engineering Science EngineeringData ScienceIndustrial EngineeringProcess MonitoringProcess Control	2003	1.1K
Fault detection and identification of nonlinear processes based on kernel PCA Sang Wook Choi, Changkyu Lee, Jong‐Min Lee, Chemometrics and Intelligent Laboratory Systems Nonlinear ProcessesFault DiagnosisEngineeringPattern RecognitionKernel Pca	2004	445
Moving window kernel PCA for adaptive monitoring of nonlinear processes Xueqin Liu, Uwe Krüger, Tim Littler, Chemometrics and Intelligent Laboratory Systems Nonlinear System IdentificationEngineeringMachine LearningWindow Kernel PcaProcess Monitoring	2009	207
Fault diagnosis of nonlinear processes using multiscale KPCA and multiscale KPLS Yingwei Zhang, Chi Ma Chemical Engineering Science Nonlinear ProcessesFault DiagnosisReliability EngineeringEngineeringFault Analysis	2010	179
Fault detection and isolation with robust principal component analysis Yvon Tharrault, Gilles Mourot, José Ragot Anomaly DetectionMachine LearningEngineeringDiagnosisReliability Engineering	2008	99
Fault Detection and Isolation with Robust Principal Component Analysis Yvon Tharrault, Gilles Mourot, José Ragot International Journal of Applied Mathematics and Computer Science	2008	81
A new online fault detection method based on PCA technique Ines Jaffel, Okba Taouali, Elyes Elaissi, IMA Journal of Mathematical Control and Information Fault DiagnosisReliability EngineeringEngineeringFault EstimationFault Analysis	2013	39
Online identification of nonlinear system using reduced kernel principal component analysis Okba Taouali, Ilyes Elaissi, Hassani Messaoud Neural Computing and Applications Nonlinear System IdentificationEngineeringPattern RecognitionReproducing Kernel MethodSystems Engineering	2010	32

Page 1