Title
Development Of Surrogate Models For An Aircraft Synchronous Generator
Abstract
A statistically-based process is under development for validation of computational simulations with experimental data. The focus of this investigation is the development of surrogate models for simulations of an electrical generator model. Several input design variables were selected as candidates for the response of power quality. Designed experiments and advanced statistical analyses were used to screen insignificant factors and develop several surrogate models. Several candidate designs for surrogate models were statistically analyzed for predictive power. Modern Design of Experiments was used to develop Central Composite Designs as well as 2nd-order and 3rd-order Optimal Response Surfaces and compare to standard engineering parametric designs. Sample sizes are statistically controlled for Type I and Type II risk for the Optimal Response Surface designs. Validations are performed for all the design surrogate models and it is determined that only the 3rd-order Optimal Response Surface surrogate accurately reflects the calibration data and predicts the validation data from the original model within acceptable precision and risk bounds.
Publication Date
12-1-2012
Publication Title
50th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.2514/6.2012-492
Copyright Status
Unknown
Socpus ID
84873823730 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84873823730
STARS Citation
Zumberge, Jon; Doty, John H.; Wu, Thomas; and Bash, Michelle, "Development Of Surrogate Models For An Aircraft Synchronous Generator" (2012). Scopus Export 2010-2014. 3919.
https://stars.library.ucf.edu/scopus2010/3919