Thomas W. Rauber

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

Probabilistic distance measures of the Dirichlet and Beta distributions

Thomas W. Rauber, Tim Braun, Karsten Berns · Pattern Recognition · 2007 · 49 citations

Dirichlet Form, Engineering, Gibbs Measure +5

Diagnosing multiple faults in oil rig motor pumps using support vector machine classifier ensembles

Estefhan Dazzi Wandekokem, Eduardo Mendel, Fábio Fabris et al. · Integrated Computer-Aided Engineering · 2011 · 43 citations

Fault Diagnosis, Noninvasive Machine Signals, Engineering +18

Automatic bearing fault pattern recognition using vibration signal analysis

Eduardo Mendel, Leandro Mariano, Idílio Drago et al. · 2008 · 30 citations

Fault Diagnosis, Condition Monitoring, Reliability Engineering +14