Litcius/Paper detail

GMA-DRSNs: A novel fault diagnosis method with global multi-attention deep residual shrinkage networks

Zhijin Zhang, Lei Chen, Chunlei Zhang, Huaitao Shi, He Li

2022Measurement45 citationsDOI

Topics & Concepts

ThresholdingResidualShrinkageComputer scienceActivation functionConvolutional neural networkArtificial intelligenceInterference (communication)Fault (geology)Noise (video)Transformation (genetics)Nonlinear systemArtificial neural networkAlgorithmField (mathematics)Consistency (knowledge bases)MathematicsMachine learningImage (mathematics)TelecommunicationsGeologyChannel (broadcasting)BiochemistryQuantum mechanicsChemistryPhysicsSeismologyGenePure mathematicsMachine Fault Diagnosis TechniquesStructural Health Monitoring TechniquesInfrastructure Maintenance and Monitoring
GMA-DRSNs: A novel fault diagnosis method with global multi-attention deep residual shrinkage networks | Litcius