ppt on AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK APPLIED TO FAULT DIAGNOSIS IN POWER SYSTEMS

PAPERS on AUTOCONFIGURING ARTIFICIAL NEURAL NETWORK APPLIED TO FAULT DIAGNOSIS IN POWER SYSTEMS

INTRODUCTION:

The fault diagnosis of a power system provides an effective means to get
information about system restoration and maintenance of the power system.
Artificial intelligence has been successfully implemented on fault diagnosis
and system monitoring. Expert systems are used by defining rules, for a fault
diagnosis. In the present work particularly a new method of “AI” namely
“Artificial Neural Network” is used as diagnosing to power system faults.
A study has been made by taking a sample models of power systems. The all
possible faults of the system were diagnosed and predicted with the help of
“Auto-Configuring Artificial Neural Network” namely “Radial Basis Function
Network” and the comprehensive study reveals that the proposed method is
more efficient, faster and reliable than any other method used for fault
diagnosis of power systems.

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