Litcius/Paper detail

Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network

Yanrui Jin, Chengjin Qin, Yixiang Huang, Chengliang Liu

2020Measurement151 citationsDOI

Topics & Concepts

ResidualDecoupling (probability)Computer scienceArtificial intelligenceWorkloadClassifier (UML)Deep learningTime domainPattern recognition (psychology)Data miningReal-time computingMachine learningAlgorithmEngineeringComputer visionControl engineeringOperating systemMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisAdvanced machining processes and optimization
Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network | Litcius