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Robust Design of Measurement Systems

Summary: [This abstract is based on the authors' abstract.] A single parameter design experiment where the signal-response relationship is linear is proposed for the estimation and reduction of measurement variation. Noise factors are classified into a few distinct categories that allow the effect of each category to be accounted for in the linear signal-response relationship. An appropriate performance measure is developed using this model, and conditions under which the model reduces to the usual dynamic signal-to-noise ratio are discussed. Two data analysis strategies for modeling and optimization are considered. The effectiveness of the proposed model is demonstrated with a simulated study and a Taguchi’s drive-shaft experiment.

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  • Topics: Statistics
  • Keywords: Measurement system, Measurement error, Parameter design, Random effects, Signal-to-noise ratio
  • Author: Dasgupta, Tirthankar; Miller, Arden; Wu, C. F. Jeff
  • Journal: Technometrics