Litcius/Paper detail

A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions

Mohammadreza Kavianpour, Amin Ramezani, Mohammad Taghi Hamidi Beheshti

2022Measurement66 citationsDOI

Topics & Concepts

Domain adaptationComputer scienceConvolution (computer science)Artificial intelligencePattern recognition (psychology)Missing dataGraphData miningFault (geology)Kernel (algebra)AlgorithmMachine learningArtificial neural networkTheoretical computer scienceMathematicsGeologySeismologyCombinatoricsClassifier (UML)Machine Fault Diagnosis TechniquesOccupational Health and Safety ResearchGear and Bearing Dynamics Analysis
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions | Litcius