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2015 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)
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.doi:10.1109/ceidp.2015.7352008 fatcat:vgxdmjtkh5ggfg3vyidonc3wcq