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The low voltage winding in a distribution transformer is generally helical type. As the helical winding winds up relative to the high voltage winding, the electromagnetic forces along the circumference would change due to inherent asymmetry. During short circuit condition these forces are of very large magnitude. In this paper the short circuit forces in the single layer helical winding are computed...
Conventional dissolved gas analysis (DGA) methods and artificial intelligence (AI) techniques based on DGA data have been used for long to diagnose incipient faults in transformers. The Dempster–Shafer Evidential Theory (DST) has been applied to various AI oriented applications where there is uncertainty and conflict. This paper uses DST to integrate the results of incipient fault diagnosis of back...
Dissolved gas analysis (DGA) has been widely used for fault diagnosis in a transformer. Artificial neural networks (ANN) have high accuracy but are regarded as black boxes that are difficult to interpret. For many problems it is desired to extract knowledge from trained ANN so that the user can gain a better understanding of the solution arrived by the NN. This paper applies a pedagogical approach...
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