A REVIEW FOR MANIFOLD LEARNING-BASED STATISTICAL PROCESS CONTROL

Jianbo Yu

Abstract

This paper reviews manifold learning-based multivariate statistical process control (MSPC) in manufacturing processes. Manifold learning is powerful technique in data analysis, pattern recognition, datamining, data visualization, etc. Those algorithms have been used widely in many industrial applications (e.g., image procesing, visual analysis, pattern recognition) and obtains many successes. This paper discusses the current states and new trends of manifold learning-based MSPC to provide a guidance for applications ofmanifold learning in mafacturing process quality control.

Keywords

multivariate statistical process control, manifold learning, quality control

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IMEKO-TC14-2013-08.pdf

DOI

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IMEKO TC

TC14 - Measurement of Geometrical Quantities

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