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• W2554985265 abstract "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." @default.
• W2554985265 created "2016-11-30" @default.
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• W2554985265 date "2016-07-01" @default.
• W2554985265 modified "2023-09-23" @default.
• W2554985265 title "A weather condition incorporated data-driven maintenance scheme for utility poles" @default.
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• W2554985265 doi "https://doi.org/10.1109/pesgm.2016.7741751" @default.
• W2554985265 hasPublicationYear "2016" @default.
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