Litcius/Paper detail

Frequency informed convolutional autoencoder for in situ anomaly detection in wire arc additive manufacturing

Giulio Mattera, Mario Vozza, Joseph Polden, Luigi Nele, Zengxi Pan

2024Journal of Intelligent Manufacturing27 citationsDOI

Topics & Concepts

AutoencoderArc (geometry)Anomaly detectionProduction (economics)In situAnomaly (physics)Pattern recognition (psychology)Environmental scienceArtificial intelligenceComputer scienceEngineeringDeep learningMechanical engineeringGeographyEconomicsMeteorologyPhysicsCondensed matter physicsMacroeconomicsIndustrial Vision Systems and Defect DetectionAdditive Manufacturing Materials and ProcessesWelding Techniques and Residual Stresses
Frequency informed convolutional autoencoder for in situ anomaly detection in wire arc additive manufacturing | Litcius