Identification and sorting of power quality disturbances using signal processing with GUI

This paper based on the classification of the voltage signal on basis of quality. It can be achieved by various techniques according to applications and required accuracy. Feeder points at various locations of electrical substation play important role in reduction of noise from the supply voltage. However this is of less amount and considerable for general applications. In some industrial applications, this may cause a large loss due to the presence of noise. So for controlling the accuracy one can design a system which overcomes the problems arising due to noise. Using MATLAB software it is implemented for detection and identification. It has various algorithms like KNN, SVM and RBF. SVM is the powerful tool in MATLAB for identification and Classification of voltage signals, images as well as music signals. For this detection of signals, a database is applied for any type of transform. It is better to use wavelet transform for feature extraction purpose. This paper gives solution for identification and sorting of different noises in voltage signals using the pair of wavelet transform and SVM.