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Evaluation of the status of rotary machines by time causal information theory quantifiers
Redelico, Francisco Traversaro Varela, Francisco Oyarzábal, Nicolás Andrés Vilaboa, Iván Rosso, Osvaldo A.
Redelico, Francisco
Traversaro Varela, Francisco
Oyarzábal, Nicolás Andrés
Vilaboa, Iván
Rosso, Osvaldo A.
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Artículo de publicación periódica
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Abstract
"In this paper several causal Information Theory quantifiers, i.e. Shannon entropy, statistical complexity and Fisher information using the Bandt and Pompe permutation probability distribution, measure are applied to describe the behavior of a rotating machine. An experiment was conducted where a rotating machine runs balanced and then, after a misalignment, runs unbalanced. All the causal Information Theory quantifiers applied are capable to distinguish between both states and grasp the corresponding transition between them. "
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2017-03
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ESTADISTICA, MAQUINARIA ROTATIVA, ANALISIS DE FALLAS, TEORIA DE LA INFORMACION, ENTROPIA