FAST COMPUTING NEURAL NETWORK MODELING FOR FAULT DIAGNOSIS IN POWER SYSTEMS

In this paper an approach for fault location based on online neural network is designed. The approach of learning the neural network based on the running fault values are trained for the suggested neural network. This approach result in running fault diagnosis based on the fault observation parameter based on the diagnosis tool. The approach is designed to run on running values of the distributed system so as to overcome the level of fault happening in a run time environment, which is not observed in case of the conventional neural controlling method.

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