INVESTIGADORES
RISK Marcelo Raul
congresos y reuniones científicas
Título:
Characterizing the operating state of rotary machines using entropy-autocorrelation functions
Autor/es:
FRANCISCO REDELICO; MARCELO RISK; OSVALDO ROSSO
Lugar:
Cartagena de Indias
Reunión:
Taller; XIV Latin American Workshop on Nonlinear Phenomena, XIV LAWNP 2015; 2015
Institución organizadora:
Universidad Nacional de Colombia
Resumen:
In this paper several causal Information Theory quantifiers: Shannon entropy, statistical complexity and Fisher information measure are applied to describe the behaviour of a rotating machine. An experiment was conducted at Instituto Tecnologico de Buenos Aires (Argentina) where a rotating machine run balanced, i.e. state one, and after a misalignment, i.e. state two. All the causal Information Theory quantifier applied are capable to distinguish between both states and grasp the corresponding transition between them.
