Fault Diagnosis of Interturn Short Circuit Using Repetitive Surge Oscillograph

In order to solve the problem that it is difficult to detect the slight interturn short circuit fault of transformer windings, this paper proposes to use the repetitive surge oscillograph to diagnose the interturn short circuit fault. By analyzing the propagation process of pulse signal in transformer winding, a distributed parameter circuit model of transformer winding is established to reflect the propagation process, and the variation law of wave impedance after interturn short circuit is deduced. By inputting a low-voltage pulse at one end of the transformer winding and collecting the response characteristic curve at the other end, the characteristic curve is obtained by combining the two response characteristic curves before and after the interturn short circuit of the winding. Analyze whether the characteristic curve protrudes to judge whether interturn short circuit fault occurs, so as to realize fault diagnosis. The degree of protrusion of the characteristic curve reflects the severity of winding short circuit fault, and then analyze its identification degree in combination with artificial neural network algorithm.