Insulation failure detection in transformer winding using cross-correlation technique with ANN and k-NN regression method during impulse test
Two new schemes proposed for insulation failure detection in transformer winding. In the first scheme the accuracy rate was higher for the shunt faults. Second scheme is more successful in detection of series failures.
insulation failure cross-correlation detailed model fault establishment time (fet) artificial neural network (ann) k-nearest neighbors (k-nns)