Classification of Inrush Current, Load Switching, Capacitor Switching and Short Circuit Faults by Using Wavelet

In this paper trensients data wave obtained by simulation of a real ۲۰kv distribution feeder using EMTP. Wavelet transform is used for the decomposition of signals. Feature extraction and principal analysis (PCA) are applied for feature vector reduction, and Bayes classifier is used for classification of data. Wavelet coefficients are used for the classification of transients. Results show that the proposed method is efficient for detection of transients.

Keywords:

Transients of Distribution Network , en , Wavelet Transform , Bayes Classifier , PCA