DocumentCode
2400290
Title
Bootstrapping neural network regression model for motor drive vibration optimization through Genetic Algorithm
Author
Pereira, Fabio Henrique ; Correa, D.A.P. ; da Silva, W.M. ; Nabeta, Silvio
Author_Institution
Industrial Engineering Post Graduation Program - Nove de Julho University - UNINOVE, São Paulo, Brazil
fYear
2011
fDate
11-14 April 2011
Firstpage
1
Lastpage
2
Abstract
This work proposes an optimization procedure based on a bootstrapped neural network interpolation approach and the Genetic Algorithm method. The bootstrapped neural network is used to generate designed data sets in order to estimate a mapping from input to output space in an intrinsic experiment in a motor drive vibration study. The optimization procedure is aimed to minimize the motor vibration by adjusting some drive control parameters.
Keywords
Bootstrapping; Genetic Algorithm; Motor´s Drive; Neural Network; Vibration Analysis;
fLanguage
English
Publisher
iet
Conference_Titel
Computation in Electromagnetics (CEM 2011), IET 8th International Conference on
Conference_Location
Wroclaw
Type
conf
DOI
10.1049/cp.2011.0074
Filename
6085495
Link To Document