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New Sampling Procedures in Coordinate Metrology Based on Kriging-Based Adaptive Designs

  • Paola Pedone
  • Daniele Romano
  • Grazia Vicario

Abstract

This chapter describes an interesting case of process innovation generated by transferring two statistical technologies from their native application fields to a different one. The technologies are prediction by Kriging models and sequential experiments, originally developed for geostatistics applications and clinical trials, respectively. The combination of the two, i.e., sequential experiments driven by Kriging predictions, has been successfully applied in coordinate metrology. The latter is a vast technical sector, widespread in industry, devoted to assessing product compliance to geometrical specifications by measuring a set of point coordinates on the part to be inspected. Preliminary results indicate that this technology transfer has produced a remarkable improvement in the performance of the measurement process, in terms of both quality and productivity.

Keywords

Form Error Ordinary Kriging Kriging Model Latin Hypercube Design Mean Square Prediction Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer 2009

Authors and Affiliations

  • Paola Pedone
    • 1
  • Daniele Romano
    • 2
  • Grazia Vicario
    • 3
  1. 1.INRIM (Italian National Research Institute of Metrology) Strada delle Cacce 91TorinoItaly
  2. 2.Department of Mechanical EngineeringUniversity of CagliariCagliariItaly
  3. 3.Politecnico di Torino, Department of MathematicsTorinoItaly

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