Health index assessment for power transformers with thermal upgraded paper up to 230kV using fuzzy inference systems

Abstract

This document presents a proposal to asset health index of transformers up to 230 kV. with upgraded thermal paper using fuzzy logic. The health index is a useful asset management tool, and provides a warning of the status of the unit allowing the correct operation and maintenance. This method use oil as inputs routine tests, such as humidity, acidity, dielectric strength, dissipation factor, dissolved gas analysis and, unlike other authors, it will include in the degree of analysis of polymerization. It is well known that thermal papers will not produce furans. Using current standards, the permissible limits will be obtained within the membership functions and parameters. Once obtain the six membership functions, relating them between with the help of expert judgment and thereby obtain the result of the health index.