Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ramon C. F. Araujo"'
Autor:
Jhennifer F. Dos Santos, Bendict K. Tshoombe, Lucas H. B. Santos, Ramon C. F. Araujo, Allan R. A. Manito, Wellington S. Fonseca, Marcelo O. Silva
Publikováno v:
IEEE Access, Vol 11, Pp 1682-1693 (2023)
Electric induction motors are the type of motor most commonly operated in industry, and for this reason technologies that predict faults and reduce the corrective maintenance are of great interest. In this context, this paper presents a predictive ma
Externí odkaz:
https://doaj.org/article/7523013a7106499ab8810d9034e80f90
Autor:
Katerine Rincon, Ramon C. F. Araújo, Moisés M. Galvão, Samuel Xavier-de-Souza, João M. de Araújo, Tiago Barros, Gilberto Corso
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 10047 (2024)
In this study, we used machine learning (ML) to estimate time-lapse velocity variations in a reservoir region using seismic data. To accomplish this task, we needed an adequate training set that could map seismic data to velocity perturbation. We gen
Externí odkaz:
https://doaj.org/article/1b65da4ac3eb41c18e3de42aac582070
Publikováno v:
Energies, Vol 15, Iss 1, p 326 (2022)
In this study, a methodology for automatic recognition of multiple simultaneous types of partial discharges (PDs) in hydro-generator stator windings was proposed. All the seven PD sources typical in rotating machines were considered, and up to three
Externí odkaz:
https://doaj.org/article/d38fb367e0f14ed288508ce7a2844f0c
Publikováno v:
Energies, Vol 14, Iss 11, p 3267 (2021)
In this paper, a novel image denoising algorithm and novel input features are proposed. The algorithm is applied to phase-resolved partial discharge (PRPD) diagrams with a single dominant partial discharge (PD) source, preparing them for automatic ar
Externí odkaz:
https://doaj.org/article/c3508af11abf49e2b47adcf3ae2e0aa7
Autor:
Wellington da Silva Fonseca, Ramon C. F. Araújo, Marcelo de Oliveira e Silva, Daniel Onofre de A. Cruz
Publikováno v:
Energies, Vol 14, Iss 9, p 2463 (2021)
Important industrial applications are based on magnetohydrodynamics (MHD), which concerns the flow of electrically conducting fluids immersed in external magnetic fields. Using the Finite Volume Method, we performed a 3D numerical study of the MHD fl
Externí odkaz:
https://doaj.org/article/7f14e66b7dc649b485ed422144537841
Autor:
Rodrigo M. S. de Oliveira, Ramon C. F. Araújo, Fabrício J. B. Barros, Adriano Paranhos Segundo, Ronaldo F. Zampolo, Wellington Fonseca, Victor Dmitriev, Fernando S. Brasil
Publikováno v:
Journal of Microwaves, Optoelectronics and Electromagnetic Applications, Vol 16, Iss 3, Pp 628-645
Abstract Partial discharge (PD) monitoring is widely used in rotating machines to evaluate the condition of stator winding insulation, but its practice on a large scale requires the development of intelligent systems that automatically process these
Externí odkaz:
https://doaj.org/article/b0c4df71f36841a68173cb586adb81f2