Marcos Pellegrini Ribeiro

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 10

Top Topics

Vibration Signal

Combining Classifiers

Fault Diagnosis

Operating Conditions

Top Venues

Integr. Comput. Aided Eng.

Publications

Flávio Miguel Varejão, Lucas Henrique Sousa Mello, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos, Alexandre Rodrigues Loureiros
An open source experimental framework and public dataset for vibration-based fault diagnosis of electrical submersible pumps used on offshore oil exploration. Knowl. Based Syst. 288 (2024)
Luciano Henrique Peixoto da Silva, Lucas Henrique Sousa Mello, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos
Active learning for new-fault class sample recovery in electrical submersible pump fault diagnosis. Expert Syst. Appl. 212 (2023)
Vitor Berger Bonella, Marcos Pellegrini Ribeiro, Lucas Henrique Sousa Mello, Thiago Oliveira-Santos, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão
Deep Learning Intelligent Fault Diagnosis of Electrical Submersible Pump Based on Raw Time Domain Vibration Signals. ISIE (2022)
Gabriel Soares Baptista, Lucas Henrique Sousa Mello, Thiago Oliveira-Santos, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro, Alexandre Loureiros Rodrigues
One-Class Classifiers for Novelties Detection in Electrical Submersible Pumps. SIBGRAPI (2021)
Lucas Henrique Sousa Mello, Marcos Pellegrini Ribeiro, Thiago Oliveira-Santos, Flávio Miguel Varejão, Alexandre Rodrigues Loureiros
Metric Learning for Electrical Submersible Pump Fault Diagnosis. IJCNN (2020)
Gustavo Epichin Monjardim, Alexandre Rodrigues, Flávio Miguel Varejão, Vítor E. Silva Souza, Marcos Pellegrini Ribeiro
A Domain-Specific Language for Fault Diagnosis in Electrical Submersible Pumps. INDIN (2018)
Thiago Oliveira-Santos, Alexandre Rodrigues, Victor F. Rocha, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Combining classifiers with decision templates for automatic fault diagnosis of electrical submersible pumps. Integr. Comput. Aided Eng. 25 (4) (2018)
Francisco de Assis Boldt, Thomas Walter Rauber, Thiago Oliveira-Santos, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump. ISIE (2017)
Thomas Walter Rauber, Thiago Oliveira-Santos, Francisco de Assis Boldt, Alexandre Rodrigues, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Kernel and random extreme learning machine applied to submersible motor pump fault diagnosis. IJCNN (2017)
Thiago Oliveira-Santos, Thomas W. Rauber, Flávio Miguel Varejão, Lucas Martinuzzo, Willian Oliveira, Marcos Pellegrini Ribeiro, Alexandre Rodrigues
Submersible Motor Pump Fault Diagnosis System: A Comparative Study of Classification Methods. ICTAI (2016)
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Fast feature selection using hybrid ranking and wrapper approach for automatic fault diagnosis of motorpumps based on vibration signals. INDIN (2015)
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Performance analysis of extreme learning machine for automatic diagnosis of electrical submersible pump conditions. INDIN (2014)
Thomas W. Rauber, Flávio Miguel Varejão, Fábio Fabris, Alexandre Rodrigues, Marcos Pellegrini Ribeiro
Automatic diagnosis of submersible motor pump conditions in offshore oil exploration. IECON (2013)
Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Feature models and condition visualization for rotating machinery fault diagnosis. ICECS (2013)
Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão, Marcos Pellegrini Ribeiro
Computational intelligence for automatic diagnosis of submersible motor pump conditions in offshore oil exploration. ICECS (2013)