Litcius/Paper detail

Utilising unsupervised machine learning and IoT for cost-effective anomaly detection in multi-layer wire arc additive manufacturing

Giulio Mattera, Emily W. Yap, Joseph Polden, Evan Brown, Luigi Nele, Stephen van Duin

2024The International Journal of Advanced Manufacturing Technology17 citationsDOI

Topics & Concepts

Anomaly detectionArc (geometry)Layer (electronics)Computer scienceUnsupervised learningArtificial intelligenceEngineeringMaterials scienceMechanical engineeringNanotechnologyAdditive Manufacturing Materials and ProcessesIndustrial Vision Systems and Defect DetectionAdvanced machining processes and optimization
Utilising unsupervised machine learning and IoT for cost-effective anomaly detection in multi-layer wire arc additive manufacturing | Litcius