Mar 11, 2012
ANN based Power Transformer Fault Diagnosis
This is a Electrical Engineering seminar report on "ANN based Power Transformer fault diagnosis". This paper presents as Artificial Neural Network (ANN) technique to recognize the incipient faults of power transformers. The technique presented in this paper improves the diagnosis accuracy of the conventional dissolved gas analysis (DGA) approaches. You can also Subscribe to FINAL YEAR PROJECT'S by Email for more such projects and seminar.
In this paper, a new transformer-fault-diagnosis-system has been proposed and implemented successfully to improve the conventional DGA methods. Theoretically, the ANN can be trained to represent any observable phenomenon if there are sufficient data available.
Author:-N.Bhuvaneswari & K.Lakshmi
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