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A LASSO-Based Diagnostic Framework for Multivariate Statistical Process Control

Summary: [This abstract is based on the authors' abstract.] This article proposes a fault isolation procedure combining Bayesian information criterion with the adaptive LASSO variable selection method. The diagnostic result is obtained quickly and with about as much computational effort as a least squares regression, and it requires no additional testing. Several statistical process control examples are presented to demonstrate the effectiveness of the method.

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  • Topics: Statistical Process Control (SPC), Statistics
  • Keywords: Bayesian methods, Least squares, Statistical process control (SPC), Variable selection
  • Author: Zou, Changliang; Jiang, Wei; Tsung, Fugee
  • Journal: Technometrics