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

J. Morales; E. Orduna; C. Rehtanz; R. J. Cabral; A. S. Bretas

doi:10.1109/SIPDA.2013.6729231

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

J. Morales, E. Orduna, C. Rehtanz, R. J. Cabral, A. S. Bretas

Research output: Contribution to conference › Paper

6 Scopus citations

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.

Original language	English
Pages	122-127
Number of pages	6
DOIs	https://doi.org/10.1109/SIPDA.2013.6729231
State	Published - 1 Jan 2013
Externally published	Yes
Event	2013 International Symposium on Lightning Protection, SIPDA 2013 - Belo Horizonte, Brazil Duration: 7 Oct 2013 → 11 Oct 2013

Conference

Conference	2013 International Symposium on Lightning Protection, SIPDA 2013
Abbreviated title	XII SIPDA 2013
Country/Territory	Brazil
City	Belo Horizonte
Period	7/10/13 → 11/10/13

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10.1109/SIPDA.2013.6729231

Cite this

Morales, J., Orduna, E., Rehtanz, C., Cabral, R. J., & Bretas, A. S. (2013). Comparison between PCA and WT filtering methods for lightning stroke classification on transmission lines: Lightning stroke classification for protection relay. 122-127. Paper presented at 2013 International Symposium on Lightning Protection, SIPDA 2013, Belo Horizonte, Brazil. https://doi.org/10.1109/SIPDA.2013.6729231

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title = "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. {\textcopyright} 2013 IEEE.",

author = "J. Morales and E. Orduna and C. Rehtanz and Cabral, {R. J.} and Bretas, {A. S.}",

year = "2013",

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doi = "10.1109/SIPDA.2013.6729231",

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pages = "122--127",

note = "2013 International Symposium on Lightning Protection ; Conference date: 07-10-2013 Through 11-10-2013",

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Morales, J, Orduna, E, Rehtanz, C, Cabral, RJ & Bretas, AS 2013, 'Comparison between PCA and WT filtering methods for lightning stroke classification on transmission lines: Lightning stroke classification for protection relay', Paper presented at 2013 International Symposium on Lightning Protection, SIPDA 2013, Belo Horizonte, Brazil, 7/10/13 - 11/10/13 pp. 122-127. https://doi.org/10.1109/SIPDA.2013.6729231

Comparison between PCA and WT filtering methods for lightning stroke classification on transmission lines: Lightning stroke classification for protection relay. / Morales, J.; Orduna, E.; Rehtanz, C. et al.
2013. 122-127 Paper presented at 2013 International Symposium on Lightning Protection, SIPDA 2013, Belo Horizonte, Brazil.

Research output: Contribution to conference › Paper

TY - CONF

T1 - Comparison between PCA and WT filtering methods for lightning stroke classification on transmission lines: Lightning stroke classification for protection relay

AU - Morales, J.

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AU - Rehtanz, C.

AU - Cabral, R. J.

AU - Bretas, A. S.

PY - 2013/1/1

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N2 - 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.

AB - 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.

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

Abstract

Conference

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