A dissolved gas analysis-based failure prediction model for power transformers using artificial neural networks

This paper presents a three-step artificial neural network (ANN) approach to predict power transformer failures based on dissolved gas-in-oil analysis (DGA). The purpose is to use ANN-based detectors to initially classifiy the condition of a power transformer. Once the abnormal condition is establis...

詳細記述