Francisco de Assis Oliveira Fontes
Federal University of Rio Grande do Norte
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IEEE Transactions on Magnetics | 2011
Filipe de O. Quintaes; Andres Ortiz Salazar; André Laurindo Maitelli; Francisco de Assis Oliveira Fontes; Madson A. A. Vieira; Thiago Eslley
This paper presents a solution for detecting contamination of insulating oil used in the artificial lift method of the oil-type electrical submersible pump (ESP), which indirectly protects the induction motor associated with that system. The objective of this sensor is to generate an alarm signal at just the moment when the contamination in the isolated oil is present. The prototype was designed to work in harsh conditions to reach a depth of 2000 m and temperatures up to 200°C. It used simulator software to define the mechanical and electromagnetic variables. Results of field experiments were performed to validate the prototype. The final results performed in an ESP system with a 60-HP motor showed a good reliability and fast response of the prototype.
IX Congresso Nacional de Engenharia Mecânica | 2016
Thiago da Silva André; Francisco de Assis Oliveira Fontes; Ângelo Roncalli Oliveira Guerra; Cleiton Rubens Formiga Barbosa; Isaac Péricles Maia de Medeiros; Ramon Rudá Brito Medeiros
1 Universidade Federal do Rio Grande do Norte, Programa de Pós-Graduação em Engenharia Mecânica [email protected] 2 Universidade Federal do Rio Grande do Norte, Departamento de Engenharia Mecânica [email protected] 3 Universidade Federal do Rio Grande do Norte, Departamento de Engenharia Mecânica [email protected] 4 Universidade Federal do Rio Grande do Norte, Departamento de Engenharia Mecânica [email protected]
ieee international conference on industry applications | 2014
Andres O. Salazar; Diego Antonio Fonseca; Andre L. Martelli; Francisco de Assis Oliveira Fontes; Filipe de O. Quintaes
The purpose of this paper is to presents a design of a magnetic sensor capable of detecting contamination of insulating oil used in the artificial lift method of oil-type electrical submersible pump (ESP). The sensor generates an alarm signal at the moment when the contamination oil is present. This signal is transmitted to the surface by communication system which uses the tree-phase motor power. This diagnostic information enables the implementation of predictive maintenance (condition monitoring) functions. For plant operators, this therefore makes it possible to detect faults in advance and implement measures to improve operational reliability and keep the downtimes of plants to a minimum. The prototype was designed to work in harsh conditions to reach a depth of 2000 m and temperatures up to 200 C. It used simulator software to define the mechanical and electromagnetic variables. Results of field experiments were performed to validate the prototype. The final results performed in an ESP system with a 62-HP motor showed a good reliability and fast response of the prototype.
Holos | 2010
Pedro Samuel Gomes Medeiros; Cleiton Rubens Formiga Barbosa; Francisco de Assis Oliveira Fontes
Holos | 2017
Valerio Fernandes Azevedo; Igor Marcel Gomes Almeida; Eduardo Henrique Viana Sousa; Francisco de Assis Oliveira Fontes; Cleiton Rubens Formiga Barbosa
IX Congresso Nacional de Engenharia Mecânica | 2016
Thiago da Silva André; Francisco de Assis Oliveira Fontes; Ângelo Roncalli Oliveira Guerra; Cleiton Rubens Formiga Barbosa; Isaac Péricles Maia de Medeiros; Ramon Rudá Brito Medeiros
Holos | 2016
Igor Marcel Gomes Almeida; Cleiton Rubens Formiga Barbosa; Francisco de Assis Oliveira Fontes
23rd ABCM International Congress of Mechanical Engineering | 2015
Elierton Evangelista Das Neves; Cleiton Rubens Formiga Barbosa; Francisco de Assis Oliveira Fontes; Cleiton Rubens Formiga Barbosa Junior
Archive | 2014
Elias Siqueira Karbage; Antônio Pereira De Araújo Júnior; Andres Ortiz Salazar; André Laurindo Maitelli Maitelli; Francisco de Assis Oliveira Fontes; Filipe de O. Quintaes
Renewable energy & power quality journal | 2012
Breno Costa Correa Oliveira; Aluisio Azevedo Neto; Francisco de Assis Oliveira Fontes; Cleiton Rubens Formiga Barbosa; Franklin Filho; Rocha de Azevedo
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Cleiton Rubens Formiga Barbosa
Federal University of Rio Grande do Norte
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