A hybrid prototype selection-based deep learning approach for anomaly detection in industrial machines
Rodrigo de Paula Monteiro, Mariela Cerrada, Diego Cabrera, René–Vinicio Sánchez, Carmelo J. A. Bastos-Filho
Topics & Concepts
Anomaly detectionComputer scienceArtificial intelligenceContext (archaeology)Process (computing)Anomaly (physics)Feature selectionData miningFeature (linguistics)ExtractorConvolutional neural networkPattern recognition (psychology)Machine learningEngineeringPaleontologyBiologyCondensed matter physicsPhilosophyOperating systemProcess engineeringLinguisticsPhysicsAnomaly Detection Techniques and ApplicationsMachine Fault Diagnosis TechniquesFault Detection and Control Systems