Support Vector Machine based Recognition of cavity size and location in High Voltage Cable

In electrical analysis, the electric field and potential distributions are used to examine, whether the system working properly or not. By using this analysis also identifies major defects that exist in the system. The electric field and potential have non-uniform distribution when a fault occurs at any part of the system like insulation failure, temperature rise, etc. Then artificial cavities are created in the insulation of the cable at various locations with different sizes for performing the electrical analysis using the Finite Element Method (FEM). These investigations are used to examine the impact of the cavity's dimension and its location on the electrical properties of the cable. In this analysis, various, features are extracted from the electrical field and potential distribution. Extracted features from the plot are offered as input datasets to Support Vector Machine (SVM) for classifying the cavity position and the cavity size can be predicted.