Francisco de Assis Boldt

Antonio Luiz da Silva Loca

Thiago M. Paixão

Proceedings of the 37th SIBGRAPI Conference on Graphics, Patterns and Images, 2024

2021

An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals.

[BibT_eX]

[DOI]

Thomas Walter Rauber

Alexandre Loureiros Rodrigues

Lúcio Antônio Stange Venturim

Expert Syst. Appl., 2021

A Proposal to Mitigate Similarity Bias for the Paderborn Bearing Data Set.

[BibT_eX]

[DOI]

Proceedings of the IECON 2021, 2021

2020

Feature selection for multivariate contribution analysis in fault detection and isolation.

[BibT_eX]

[DOI]

Celso José Munaro

J. Frankl. Inst., 2020

2017

Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process.

[BibT_eX]

[DOI]

Neurocomputing, 2017

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

[BibT_eX]

[DOI]

Thomas Walter Rauber

Thiago Oliveira-Santos

Alexandre Rodrigues

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

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

[BibT_eX]

[DOI]

Thomas Walter Rauber

Thiago Oliveira-Santos

Alexandre Rodrigues

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

2015

Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2015

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

[BibT_eX]

[DOI]

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

Single Sequence Fast Feature Selection for High-Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2014

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

[BibT_eX]

[DOI]

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

Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process.

[BibT_eX]

[DOI]

Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

2013

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

[BibT_eX]

[DOI]

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

Feature models and condition visualization for rotating machinery fault diagnosis.

[BibT_eX]

[DOI]