Transformer health index estimation using orthogonal wavelet network

Abstract

The Health Index represents a practical tool that combines the results of operating observations, field inspections, and site and laboratory testing to manage the asset and prioritize investments in capital and maintenance plans. In this paper, the Orthogonal Wavelet Network is used to estimate transformer Health Index using various transformer test results. The idea is to build a tool that can be used to assign a representative health index to each transformer based on various transformer test results. The main purpose of this research is to develop a reliable health index for substation transformers. The proposed transformer health index will provide assessment of the transformer health condition which will be useful for maintenance, ensuring optimum transformer performance, increased efficiency and also increased expected life time.