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


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. © 2013 IEEE.

Año de publicación:

2013

Keywords:

  • operation time
  • patterns extraction
  • principal component
  • mother function

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Aprendizaje automático

Áreas temáticas:

  • Física aplicada
  • Electricidad y electrónica