Evaluation of the status of rotary machines by time causal Information Theory quantifiers

REDELICO, FRANCISCO; FRANCISCO TRAVERSARO; NICOLAS OYARZABAL; IVAN VILABOA; OSVALDO ROSSO

PHYSICA A - STATISTICAL AND THEORETICAL PHYSICS

ELSEVIER SCIENCE BV

Lugar: Amsterdam; Año: 2017

0378-4371

In this paper several causal Information Theory quantifiers, i.e. Shannon entropy,statistical complexity and Fisher information using the Bandt and Pompe permutationprobability distribution, measure are applied to describe the behavior of arotating machine. An experiment was conducted where a rotating machine run balancedand then, after a misalignment, run unbalanced. All the causal InformationTheory quantifier applied are capable to distinguish between both states and graspthe corresponding transition between them.