Multifactor B-Spline Mixed Models in Designed Experiments for the Engine Mapping Problem

Article

Grove, Daniel M.; Woods, David C.; Lewis, Susan M.   (2004, ASQ)   University of Southampton, Southampton, UK

Journal of Quality Technology    Vol. 36    No. 4
QICID: 19629    October 2004    pp. 380-391

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Article Abstract

[This abstract is based on the authors' abstract.] Polynomial spline regression models using B-spline basis functions are shown to provide greater flexibility and lead to more accurate predictions than traditional polynomial models. Use of multifactor B-spline regression models is described in a case study from the automotive industry in engine mapping using a two-stage hierarchical model. The accuracy and effectiveness of the approach is demonstrated with validation runs.

Keywords

Response surface methodology (RSM),Spline functions,Validation,Polynomial model,Factorial experiments,Optimal design,Analytical modeling


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