Transformer fault diagnosis and repair is a complex task that includes many possible types of faults and demands special trained personnel. In this paper, Petri Nets are used for the simulation of transformer fault diagnosis process and the definition of the actions followed to repair the transformer. An oil thermometer and a Buchholz relay are used for transformer fault detection. Simulation r...

The reliability of the transformer differential protection is under threat from multiple interferences, including inrush condition, current saturation and arc fault condition. For improvement, a new method proposed to discriminate conditions other non-fault conditions. Firstly, identifies unidirectional via index, since only it exhibits characteristic. Then, remaining signals are classified by ...

A new approach for protection of power transformer is presented using a time-frequency transform known as Wavelet transform. Different operating conditions such as inrush, Normal, load, External fault and internal fault current are sampled and processed to obtain wavelet coefficients. Different Operating conditions provide variation in wavelet coefficients. Features like energy and Standard dev...

This paper presents the use of ANN as a pattern classifier for differential protection of power transformer, which makes the discrimination among normal, magnetizing inrush, over-excitation, external fault and internal fault currents. The Back Propagation Neural Network Algorithm and Genetic Algorithm are used to train the multi-layered feed forward neural network and simulated results are comp...

For my final project, I will be constructing a 70V audio amplifier capable of delivering about 200 watts into a network of transformer coupled loudspeakers. My design utilizes a class G (rail switching) output stage for increased efficiency and lessened cooling requirements. The rest of the amplifier circuit is fairly standard: an input differential pair with negative feedback from the amplifie...