A weather condition incorporated data-driven maintenance scheme for utility poles

This paper presents a data-driven maintenance scheme for utility poles with weather data incorporated. An autoregressive moving average (ARMA) model for wind forecast and a pole mechanical strength probabilistic model are developed for implementing the data-driven maintenance strategy for utility poles. The reliability and economic benefits of adopting the maintenance scheme is analyzed in a case study. The results show that the proposed method improves the pole's reliability, resulting in an improved reliability and economic performance of the overall distribution system.