Model reduction of rotor-foundation systems using the approximate invariant manifold method

Autor: Arthur Guilherme Mereles, Diogo Stuani Alves, Katia Lucchesi Cavalca

Publikováno v: Nonlinear Dynamics. 111:10743-10768

This work presents a model reduction method suited for performing nonlinear dynamic analysis of highdimensional rotor-foundation systems modeled by the finite element method. The approach consists in combining the Component Mode Synthesis (CMS) metho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f0b2323a4faac2a2e17e869f80c710b
https://doi.org/10.1007/s11071-023-08421-x

Bifurcations and limit cycle prediction of rotor systems with fluid-film bearings using Spectral Submanifolds

Autor: Arthur Guilherme Mereles, Diogo Stuani Alves, Katia Lucchesi Cavalca

Many rotating machines utilize a fluid type bearing. Despite their reliability and high load capacity, these bearings often show instabilities due to the interaction between the fluid media and the rotating shaft. These instabilities, known as oil-wh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8428b5dfad25298ddc32592aa72fbaf4
https://doi.org/10.21203/rs.3.rs-2402523/v1

Fault Identification in Rotating Systems using Convolutional Neural Networks

Autor: Carlos Alberto Alves Viana, Diogo Stuani Alves, Tiago Machado

Publikováno v: Proceedings of the XIX International Symposium on Dynamic Problems of Mechanics.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2c4d8be2e8f407d7247a00a15cc573c3
https://doi.org/10.26678/abcm.diname2023.din2023-0012

Investigation of Fault Modeling in the Identification of Bearing Wear Severity

Autor: Diogo Stuani Alves, Tiago Henrique Machado, Felipe Wenzel da Silva Tuckmantel, Patrick S. Keogh, Katia Lucchesi Cavalca

Publikováno v: Alves, D, Machado, T, Tuckmantel, F, Keogh, P & Cavalca, K 2022, ' Investigation of Fault Modeling in the Identification of Bearing Wear Severity ', Journal of Tribology: Transactions of the ASME, vol. 144, no. 7, 71802 . https://doi.org/10.1115/1.4053178

Recent research into machines involved in power generation processes has demanded deep investigation of model-based techniques for fault diagnosis and identification. The improvement of critical fault characterization is crucial in the maintenance pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc6827646d5f718af418f8966b7aca13
https://purehost.bath.ac.uk/ws/files/227670162/manuscript_rev3_PSK.pdf

Fault parameter identification in rotating system: Comparison between deterministic and stochastic approaches

Autor: Helio Fiori de Castro, Diogo Stuani Alves, Tiago Henrique Machado, Katia Lucchesi Cavalca, Gabriel Yuji Garoli

Publikováno v: Structural Health Monitoring. 20:3182-3200

Fault identification is a recurrent topic in rotating machines field. The evaluation of fault parameters allows better maintenance of such expensive and, sometimes, large machines. Unbalance is one of the most common faults, and it is inherent to rot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::de6c35cdcb961226742916ae7c8a3c64
https://doi.org/10.1177/1475921720981737