Marcos Pellegrini Ribeiro

According to our database, Marcos Pellegrini Ribeiro authored at least 14 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis.

Luciano Henrique Peixoto da Silva, Lucas Henrique Sousa Mello, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos

Expert Syst. Appl., 2023

2022

Deep Learning Intelligent Fault Diagnosis of Electrical Submersible Pump Based on Raw Time Domain Vibration Signals.

Vitor Berger Bonella, Marcos Pellegrini Ribeiro, Lucas Henrique Sousa Mello, Thiago Oliveira-Santos, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão

Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

2021

One-Class Classifiers for Novelties Detection in Electrical Submersible Pumps.

Gabriel Soares Baptista, Lucas Henrique Sousa Mello, Thiago Oliveira-Santos, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Alexandre Loureiros Rodrigues

Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

2020

Metric Learning for Electrical Submersible Pump Fault Diagnosis.

Lucas Henrique Sousa Mello, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos, Flávio Miguel Varejão, Alexandre Rodrigues Loureiros

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps.

Thiago Oliveira-Santos, Alexandre Rodrigues, Victor Freitas Rocha, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro

Integr. Comput. Aided Eng., 2018

A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps.

Gustavo Epichin Monjardim, Alexandre Rodrigues, Flávio Miguel Varejão, Vítor E. Silva Souza, Marcos Pellegrini Ribeiro

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

2017

Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump.

Francisco de Assis Boldt, Thomas Walter Rauber, Thiago Oliveira-Santos, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro

Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017

Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis.

Thomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods.

Thiago Oliveira-Santos, Thomas W. Rauber, Flávio Miguel Varejão, Lucas Martinuzzo, Willian Oliveira, Marcos Pellegrini Ribeiro, Alexandre Rodrigues

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2015

Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals.

Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro

Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

2014

Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions.

Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro

Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

2013

Automatic diagnosis of submersible motor pump conditions in offshore oil exploration.

Thomas W. Rauber, Flávio Miguel Varejão, Fábio Fabris, Alexandre Rodrigues, Marcos Pellegrini Ribeiro

Proceedings of the IECON 2013, 2013

Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration.

Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro

Proceedings of the 20th IEEE International Conference on Electronics, 2013

Feature models and condition visualization for rotating machinery fault diagnosis.

Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro

Proceedings of the 20th IEEE International Conference on Electronics, 2013