Francisco de Assis Boldt

Antonio Luiz da Silva Loca

Thiago M. Paixão

CoRR, 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]