Project Title: WAVELET TRANSFORM AND S-TRANSFORM BASED ARTIFICIAL NEURAL NETWORK
Brief Introduction:
This project presents features that characterize energy quality disruptions from recorded voltage and current signals use that is making of change and analysis that is s-transform. The interruption of great interest includes sag, swell, transient and harmonics. A circulation that is 25kv happens to be simulated matlab pc software that is making use of. The function reduction Has been done wavelet that is using and S-transform, the coefficients are given and gathered to the neural System for the classification that is best. The S-transform based classification shows better performance in detecting, Localizing and classifying compared to the wavelet transform based Back Propagation Algorithm.
Hardware Details:
* Short-time Fourier transform
* WAVELET TRANSFORM
Software Details:
Block Diagram: