Characterizing the operating state of rotary machines using entropy-autocorrelation functions

REDELICO, FRANCISCO; MARCELO RISK; OSVALDO ROSSO

Bogotá

Workshop; XIV Latin American Workshop on Nonlinear Phenomena; 2015

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 run balanced and then, after a misalignment, run unbalanced. All the causal Information Theory quantifier applied are capable to distinguish between both states and grasp the corresponding transition between them