Modified FEA and ExtraTree algorithm for transformer Green's function modelling

Xuhao Du, Jie Pan

Research output: Chapter in Book/Conference paperConference paper

1 Citation (Scopus)

Abstract

The Green's function of a transformer is essential for prediction of its vibration. As the Green's function cannot be measured directly and completely, the finite element analysis (FEA) is typically used for its estimation. However, because of the complexity of the transformer structure, the calculations involved in FEA are time consuming. Therefore, in this paper, a method based on FEA modified by an extremely random tree algorithm call ExtraTree is proposed to efficiently estimate the Green's function of a transformer. A subset of the frequency response functions from FEA will be selected by a genetic algorithm that can well present the structural variation. The FEA calculation time can be reduced by simply calculating the frequency response functions on this subset and predicting remainder using the trained ExtraTree model. The errors introduced in this method can be estimated from the corresponding frequency and the genetic algorithm error.

Original languageEnglish
Title of host publicationINTER-NOISE 2017 - 46th International Congress and Exposition on Noise Control Engineering
Subtitle of host publicationTaming Noise and Moving Quiet
Place of PublicationUnited States
PublisherInstitute of Noise Control Engineering
Pages1538-1545
Publication statusPublished - 1 Jan 2017
Event46th International Congress and Exposition on Noise Control Engineering - Hong Kong, China
Duration: 27 Aug 201730 Aug 2017

Conference

Conference46th International Congress and Exposition on Noise Control Engineering
CountryChina
CityHong Kong
Period27/08/1730/08/17

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