Classification of power quality disturbances based on s-transform and image processing techniques Güç kalitesi bozucularinin s-dönüsümü ve görüntü isleme tekniklerine dayali olarak siniflandirilmas

Uyar M., Kaya Y., Atas M.

2013 21st Signal Processing and Communications Applications Conference, SIU 2013, Haspolat, Türkiye, 24 - 26 Nisan 2013 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2013.6531327
  • Basıldığı Şehir: Haspolat
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: Image processing, Local binary pattern, Power quality disturbances, S-transform
  • Bursa Uludağ Üniversitesi Adresli: Hayır

Özet

This paper presents a method that combines discrete S-transform (DST) time-frequency distribution (TFD) and local binary pattern (LBP) based image analysis technique for classifying power quality (PQ) disturbances. The purpose of this combination is to extract discriminative features by utilizing from both capability of generating the compact TFD of a nonstationary signal and the efficient image representation capability of LBP. In the proposed method, DST based TFDs of PQ disturbance signals are considered as 2-D images. LBP histograms are used to extract the features from TF images. Initially, the uniform patterns in TF images are obtained by the LBP operator. Next, the occurrence histograms of these patterns are used to produce representative feature vectors that can capture the unique and salient characteristics of each disturbance. The classification performance of the proposed method is evaluated through total 2400 disturbance signals. The experimental results have shown that the rate of correct classification is about 98 % for the different PQ disturbances. © 2013 IEEE.