Variational autoencoder-driven adversarial SVDD for power battery anomaly detection on real industrial data
Joey Chan, Te Han, Ershun Pan
Topics & Concepts
AutoencoderAnomaly detectionBattery (electricity)Power (physics)Computer scienceAnomaly (physics)Artificial intelligenceData miningPattern recognition (psychology)EngineeringDeep learningPhysicsCondensed matter physicsQuantum mechanicsAdvanced Battery Technologies ResearchFault Detection and Control SystemsMachine Fault Diagnosis Techniques