International Journal of Engineering and Advanced Technology (IJEAT)
In this paper, the authors are mainly on illustrating the inherent potential of Artificial Intelligence (AI) tools and techniques to accurately predict and detect faults at an early stage in power systems. An AI mainly monitors and predicts locus 'N' nature of faults at an early stage on particular sections of power systems which increase the reliability and quality of the power system. The detector for this early warning fault detection device only requires external measurements taken from the input and output nodes of the power system. The AI detection system is capable of rapidly predicting a malfunction within the system.