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.
|Number of pages||6|
|State||Published - 1 Jan 2013|
|Event||2013 International Symposium on Lightning Protection, SIPDA 2013 - Belo Horizonte, Brazil|
Duration: 7 Oct 2013 → 11 Oct 2013
|Conference||2013 International Symposium on Lightning Protection, SIPDA 2013|
|Abbreviated title||XII SIPDA 2013|
|Period||7/10/13 → 11/10/13|