Evaluation of the status of rotary machines by time causal information theory quantifiers

"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...

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Detalles Bibliográficos
Autores principales: Redelico, Francisco, Traversaro Varela, Francisco, Oyarzábal, Nicolás Andrés, Vilaboa, Iván, Rosso, Osvaldo A.
Formato: Artículos de Publicaciones Periódicas acceptedVersion
Lenguaje:Inglés
Publicado: 2019
Materias:
ESTADISTICA
MAQUINARIA ROTATIVA
ANALISIS DE FALLAS
TEORIA DE LA INFORMACION
ENTROPIA
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1761
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
Descripción
Sumario:"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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