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Estimating Asset Class Health Indices in Power Systems

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Document pages: 7 pages

Abstract: Power systems have widely adopted the concept of health index to describeasset health statuses and choose proper asset management actions. The existingapplication and research works have been focused on determining the current ornear-future asset health index based on the current condition data. Forpreventative asset management, it is highly desirable to estimate asset healthindices, especially for asset classes in which the assets share similarelectrical and or mechanical characteristics. This important problem has notbeen sufficiently addressed. This paper proposes a sequence learning basedmethod to estimate health indices for power asset classes. A comprehensivedata-driven method based on sequence learning is presented and solid tests areconducted based on real utility data. The proposed method revealed superiorperformance with comparison to other Estimation methods.

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