Mechanical Condition Diagnosis of Power Transformer by FRA using AI Technique

There are many methods of fault diagnosis of Power transformer but among all these Fra is the most suitable method for electrical and /or mechanical faults of a transformer. The concept of FRA has been successfully used as a diagnostic technique to detect the winding deformation, core and clamping structure of power transformer. In FRA measurement, the nine statistical indicators are used to detect the deviation in FRA signature. The effects of different winding parameters on FRA signature are described. The artificial neural network approach has been proposed to complement these nine indicators. ANN can be used to increase the efficiency and accuracy of diagnosis system. Neural network toolbox is used to train the multilayer feed-forward neural network. Different practical case studies and their data are used to train and test the multilayer feed-forward neural network. In this work Matlab-2014 is to be used. This paper presents the review of ANN with its relative advantages.