Comparison of pollution level of aged porcelain and silicon rubber insulators

In this paper, an artificial neural network (ANN) has been used to compare the pollution level of aging long-rod silicon rubber and porcelain insulators. High regression values and effective correlation of equivalent salt deposit density (ESDD) have been found using MATLAB neural network toolbox. It has been found that the bottom surface of the porcelain insulator contains more pollution than the top surface. Higher pollution has also been measured in case of silicon rubber (SiR) insulator. Pollution levels in case of both insulators have been found to be exceptionally high compared to IEEE and CIGRE standards.