Fuzzy-Logic Applications in Cost Analysis of Transformer's Main Material Weight

Abstract

Transformer is one of the costliest apparatus in an electrical power supply network which play vital role in an electrical power system. It is expected that all transformers installed in a substation must function optimally under normal as well transient conditions. Their satisfactory performance of transformers can be ensured by making use of latest trends in condition based monitoring. This helps not only in providing interruption free electricity supply but also help in enhancing attain prolonged residual life and hence capital management of the utilities. Forecasting transformer costs by its manufacturer and industrial companies has always been an area of interest especially in modern era of technology advancements when newer and newer material are pouring into market for the use by manufacturers. The major amount of transformer costs are related to its raw materials, So, the cost estimation process of transformers are based on amount of used raw material. This paper presents a new method to estimate the weight of main materials for transformers by use of fuzzy logic technique. The required estimating data have been obtained from Transformer Company.