Francisco de Assis Boldt

According to our database, Francisco de Assis Boldt authored at least 13 papers between 2013 and 2021.

Collaborative distances:

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

2021

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

Thomas Walter Rauber, Antonio Luiz da Silva Loca, Francisco de Assis Boldt, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão

Expert Syst. Appl., 2021

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

Lúcio Antônio Stange Venturim, Francisco de Assis Boldt

Proceedings of the IECON 2021, 2021

2020

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

Thomas W. Rauber, Francisco de Assis Boldt, Celso José Munaro

J. Frankl. Inst., 2020

2017

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

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

Neurocomputing, 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

2015

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

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

IEEE Trans. Ind. Electron., 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

Single Sequence Fast Feature Selection for High-Dimensional Data.

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

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.

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

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.

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

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.

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