Litcius/Paper detail

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, Alexandre Rodrigues, Flávio Miguel Varejão

2020Expert Systems with Applications99 citationsDOI

Topics & Concepts

OverfittingComputer scienceHyperparameterMachine learningArtificial intelligenceBenchmark (surveying)Support vector machineConvolutional neural networkRandom forestTask (project management)GeneralizationBearing (navigation)Data miningArtificial neural networkMathematicsGeographyEconomicsManagementGeodesyMathematical analysisMachine Fault Diagnosis TechniquesFault Detection and Control SystemsStructural Health Monitoring Techniques
An experimental methodology to evaluate machine learning methods for fault diagnosis based on vibration signals | Litcius