Fault feature extraction method based on local mean decomposition Shannon entropy and improved kernel principal component analysis model

A novel hybrid KPCA and SVM with GA model for intrusion detection

(2014) Fangjun Kuang et al.   APPLIED SOFT COMPUTING

Ensemble Kernel Principal Component Analysis for Improved Nonlinear Process Monitoring

(2014) Nan Li et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Natural gas pipeline small leakage feature extraction and recognition based on LMD envelope spectrum entropy and SVM

(2014) Jiedi Sun et al.   MEASUREMENT

Bearing degradation process prediction based on the PCA and optimized LS-SVM model

(2013) Shaojiang Dong et al.   MEASUREMENT

Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes

(2012) Shichang Du et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Classification of fault location and performance degradation of a roller bearing

(2012) Ying Zhang et al.   MEASUREMENT

A rotating machinery fault diagnosis method based on local mean decomposition

(2011) Junsheng Cheng et al.   DIGITAL SIGNAL PROCESSING

A Support Vector Machine approach based on physical model training for rolling element bearing fault detection in industrial environments

(2011) K.C. Gryllias et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Extended local tangent space alignment for classification

(2011) Jing Wang et al.   NEUROCOMPUTING

Degradation process prediction for rotational machinery based on hybrid intelligent model

(2011) Shichang Du et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system

(2009) Qi Wu   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS