Health Index Evaluation of Overhead Transmission Line Assets in Nigeria Using AI Models

This study is aimed at evaluating the health index of overhead transmission line assets in Nigeria using artificial intelligence models (ANN and ANFIS). The data used in this study was obtained from linesmen inspection report of Uyo/Itu 132 kV transmission line, which consists of 59 towers labelled from T1-T59. ANN and ANFIS were used in evaluating asset health index. It was observed that environmental factors are the major degradation factors in overhead transmission lines failures, contributing 40% of the entire failure events encountered in the transmission network. The findings made in this study can help to reduce capital, operational and maintenance expenditures