Artículo
Evaluation of the status of rotary machines by time causal Information Theory quantifiers
Redelico, Francisco Oscar
; Traversaro, Francisco; Oyarzabal, Nicolas; Vilaboa, Ivan; Rosso, Osvaldo Aníbal
Fecha de publicación:
03/2017
Editorial:
Elsevier Science
Revista:
Physica A: Statistical Mechanics and its Applications
ISSN:
0378-4371
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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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Citación
Redelico, Francisco Oscar; Traversaro, Francisco; Oyarzabal, Nicolas; Vilaboa, Ivan; Rosso, Osvaldo Aníbal; Evaluation of the status of rotary machines by time causal Information Theory quantifiers; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 470; 3-2017; 321-329
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