Title :
Statistical process control using kernel PCA
Author :
Stefatos, George ; Ben Hamza, A.
Author_Institution :
Concordia Univ., Montreal
Abstract :
In this paper, we present a robust multivariate statistical process control chart using kernel principal component analysis. The proposed control chart is effective in the detection of outliers, and its control limits are derived from the eigenanalysis of the Gaussian kernel matrix in the Hilbert feature space. Our experimental results show the much improved performance of the proposed control chart in comparison with existing multivariate monitoring and controlling charts.
Keywords :
Gaussian processes; Hilbert spaces; control charts; eigenvalues and eigenfunctions; matrix algebra; principal component analysis; process monitoring; statistical process control; Gaussian kernel matrix; Hilbert feature space; kernel principal component analysis; multivariate monitoring; multivariate statistical process control chart; outlier detection; Control charts; Hilbert space; Information systems; Kernel; Monitoring; Principal component analysis; Process control; Quality control; Robust control; Statistics; Kernel PCA; multivariate chart; process control;
Conference_Titel :
Control & Automation, 2007. MED '07. Mediterranean Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1282-2
Electronic_ISBN :
978-1-4244-1282-2
DOI :
10.1109/MED.2007.4433899
