Comparison between PCA and WT filtering methods for lightning stroke classification on transmission lines: Lightning stroke classification for protection relay

Author

Morales, Javier ; Orduna, E. ; Rehtanz, Christian ; Cabral, Roberto J. ; Bretas, Arturo S.

Author_Institution

Electr. Energy Inst., Univ. Nac. de San Juan, San Juan, Argentina

fYear

2013

fDate

7-11 Oct. 2013

Firstpage

122

Lastpage

127

Abstract

In this paper, a comparative study of the advantages and disadvantages of Principal Component Analysis (PCA) and Wavelet Transform (WT) based methods combined with a Artificial Neural Network (ANN) classifier for the lightning stroke classification is presented. Results show that both techniques present an acceptable performance. However, PCA technique presents some advantages with respect to the Wavelet Transform technique.

Keywords

lightning protection; power transmission lines; principal component analysis; relay protection; wavelet transforms; PCA; WT filtering methods; artificial neural network; lightning stroke classification; principal component analysis; protection relay; transmission lines; wavelet transform; Lightning; Multiresolution analysis; Power systems; Principal component analysis; Wavelet transforms; mother function; operation time; patterns extraction; principal component;

fLanguage

English

Publisher

ieee

Conference_Titel

Lightning Protection (XII SIPDA), 2013 International Symposium on

Conference_Location

Belo Horizonte

Print_ISBN

978-1-4799-1343-5

Type

conf

DOI

10.1109/SIPDA.2013.6729231

Filename

6729231