Data-driven identification of rotating machines using ARMA deterministic parameter evolution in the angle/time domain

Author:

Bicudo Jambersi AndreysonORCID,da Silva SamuelORCID,Antoni JérômeORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Ensino, Pesquisa e Extensão de Ilha Solteira

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics

Reference51 articles.

1. Abboud D (2015) Vibration-Based Condition Monitoring of Rotating Machines in Nonstationary Regime. Ph.D. thesis, INSA de Lyon

2. Abboud D, Antoni J, Eltabach M, Sieg-Zieba S (2015) Angle$$\setminus $$time cyclostationarity for the analysis of rolling element bearing vibrations. Measurement 75:29–39

3. Abboud D, Baudin S, Antoni J, Rémond D, Eltabach M, Sauvage O (2016) The spectral analysis of cyclo-non-stationary signals. Mech Syst Signal Process 75:280–300

4. Antoni J (2000) Apports de l’échantillonnage angulaire et de la cyclostationnarité au diagnostic par analyse vibratoire des moteurs thermiques. PhD thesis, Grenoble INPG

5. Antoni J (2009) Cyclostationarity by examples. Mech Syst Signal Process 23(4):987–1036

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