Fault Detection And Identification Using Levenberg Machine Learning Algorithm

In power system there is a vital importance for transmission lines for transport of bulk power. This paper presents an popularly Levenberg Machine Learning (LML) algorithm proposed to detect and identify faults. The performance of Levenberg Algorithm in detection and identification of various types of faults compared to principal component analysis. The effectiveness of proposed algorithm tested on simulated two area power system using Matlab Simulink.

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