Francisco de Assis Boldt

Publication Activity (10 Years)

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

Top Topics

Fault Diagnosis

Feature Selection

Tennessee Eastman

Top Venues

J. Frankl. Inst.

Publications

Carlos Eduardo G. R. Alves, Francisco de Assis Boldt, Thiago M. Paixão
Enhancing Brazilian Sign Language Recognition through Skeleton Image Representation. CoRR (2024)
Thomas Walter Rauber, Antonio Luiz da Silva Loca, Francisco de Assis Boldt, Alexandre Loureiros Rodrigues, Flávio Miguel Varejão
An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals. Expert Syst. Appl. 167 (2021)
Lúcio Antônio Stange Venturim, Francisco de Assis Boldt
A Proposal to Mitigate Similarity Bias for the Paderborn Bearing Data Set. IECON (2021)
Thomas W. Rauber, Francisco de Assis Boldt, Celso Jose Munaro
Feature selection for multivariate contribution analysis in fault detection and isolation. J. Frankl. Inst. 357 (10) (2020)
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)
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão
Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process. Neurocomputing 239 (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)
Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão
Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis. IEEE Trans. Ind. Electron. 62 (1) (2015)
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
Single Sequence Fast Feature Selection for High-Dimensional Data. ICTAI (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)
Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão
Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process. IECON (2014)
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)