Assortment and Statistical Investigation of Various Methods Adopted in Insulating Oil

This study delves into the understanding of various methods adopted in the development of Insulating fluids for Power Transformer (PT) and Distribution Transformer (DT). The impact of each method with the other method has been found out using statistical means. In other words, the clusters are developed to show the weighing by means of timeline gives significance of each method. In doing so, the relying of method with the other is found. The performance of the statistical model is verified using the Akaike information criterion (AIC) and Bayesian information criterion (BIC) that has the best value at 1 and 5. The optimal number of clusters is found using the Calinski-Harabasz clustering evaluation criterion.