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

Francisco O. Redelico, Francisco Traversaro, Nicolás Oyarzabal, Ivan Vilaboa and Osvaldo A. Rosso

Physica A: Statistical Mechanics and its Applications, 2017, vol. 470, issue C, 321-329

Abstract: 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.

Keywords: Permutation entropy; Permutation statistical complexity; Permutation Fisher information measure; Rotary machines; Fault diagnosis (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:470:y:2017:i:c:p:321-329

DOI: 10.1016/j.physa.2016.05.031

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