Abstract
The state-of-the-art related to reliability, availability and maintainability (RAM), provides indices that allow to effectively measuring different attributes on single complex assets. However, those methodologies usually present limitations when the aim is to analyse grouping maintenance or the remaining useful life in fleets of assets. The purpose of this contribution is to suggest the advantages of measures based on the notion of Shannon entropy, applied to fleet RAM analysis. Particularly, this research presents a derivation from well-known concepts such as the Gini, Hoover, and Theil indices.
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Gonzalez-Prida, V., Orchard, M.E., Martin, C., Crespo, A., Soto, A.F. (2016). Inequality Indices Based on the Notion of Shannon-Entropy for the Assessments of Industrial Fleets. In: Koskinen, K., et al. Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015). Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-27064-7_18
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DOI: https://doi.org/10.1007/978-3-319-27064-7_18
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