Litcius/Paper detail

MiDAN: A framework for cross-domain intelligent fault diagnosis with imbalanced datasets

Yongwen Tan, Liang Guo, Hongli Gao, Zhibin Lin, Yuekai Liu

2021Measurement32 citationsDOI

Topics & Concepts

Computer scienceDomain (mathematical analysis)Domain adaptationArtificial intelligenceFault (geology)Deep learningMachine learningAdversarial systemMatching (statistics)ObstacleClass (philosophy)Adaptation (eye)Data miningDomain knowledgeState (computer science)Training setAlgorithmClassifier (UML)Mathematical analysisPolitical sciencePhysicsSeismologyGeologyStatisticsOpticsMathematicsLawMachine Fault Diagnosis TechniquesNon-Destructive Testing TechniquesImbalanced Data Classification Techniques
MiDAN: A framework for cross-domain intelligent fault diagnosis with imbalanced datasets | Litcius