Multivariate Statistical Process Control for Engine Flatness Using 2-Dimensional Fused LASSO
Lu Yong-ting
Li Yan-ting
Abstract：A new multivariate statistical process control ( MSPC) chart methodology is developed based on the two-dimensional Fused LASSO ( least absolute shrinkage and selection operator ) for quality control in which the mean shifts have some natural ordering in two-dimensional plane .Because of the two-dimension-al Fused LASSO penalties on the difference between successive variables , it is a desirable tool to identify the natural ordering among variables .The numeric simulation study shows that the two-dimensional Fused LASSO control chart can more quickly and efficiently detect mean shift of such structure , especially where the shift value is large .Finally an application to the engine flatness data shows that the two-dimensional Fused LASSO control chart is applicable and useful .
Keywords：two-dimensional planemultivariate statistical process control(MSPC)fused LASSOflat-ness
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 127-133 )