Francisco de Assis Boldt

Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis

Thomas W. Rauber, Francisco de Assis Boldt, Flávio Miguel Varejão · IEEE Transactions on Industrial Electronics · 2014 · 363 citations

Fault Diagnosis, Engineering, Machine Learning +16

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

Thomas W. Rauber, Antonio Luiz da Silva Loca, Francisco de Assis Boldt et al. · Expert Systems with Applications · 2020 · 94 citations

Fault Diagnosis, Reliability Engineering, Engineering +13

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 · 28 citations

Fault Diagnosis, Engineering, Machine Learning +17

Enhancing Brazilian Sign Language Recognition Through Skeleton Image Representation

Carlos Eduardo G. R. Alves, Francisco de Assis Boldt, Thiago M. Paixão · 2024 · 15 citations

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

Francisco de Assis Boldt, Thomas W. Rauber, Flávio Miguel Varejão et al. · 2014 · 14 citations

Fault Diagnosis, Engineering, Machine Learning +17