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QICID: 20646
Title: Phase I Analysis for Monitoring Nonlinear Profiles in Manufacturing Processes
Copyright: 2006, ASQ
Author: Ding, Yu; Zeng, Li; Zhou, Shiyu
Organization: Texas A&M University, College Station, TX; The University of Wisconsin-Madison, Madison, WI
Subject: Control charts,Manufacturing process,Multivariate analysis,Nonlinear models,Change agent,Clustering;
Series: Journal of Quality Technology, Vol. 38, No. 3, July 2006, pp. 199-216
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Abstract: [This abstract is based on the authors' abstract.]Unlike linear profiles that can be represented by a linear regression model, nonlinear profiles are frequently sampled into high-dimensional data vectors and analyzed by nonparametric methods, meanwhile generating huge historical data sets that must be analyzed. High dimensionality and data contamination create problems for the Phase I analysis of nonlinear profiles. A two-component strategy is proposed: a data-reduction component that projects original data into a lower dimension subspace, and a data-separation technique that can detect single and multiple shifts as well as outliers in the data. Simulated data and nonlinear profile signals from a forging process illustrate the proposed strategy.
Number of pages: 18
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