Litcius/Paper detail

An improved ensemble fusion autoencoder model for fault diagnosis from imbalanced and incomplete data

Jing Yang, Guo Xie, Yanxi Yang

2020Control Engineering Practice106 citationsDOI

Topics & Concepts

AutoencoderResamplingComputer scienceArtificial intelligenceData miningFault (geology)Artificial neural networkMachine learningPattern recognition (psychology)Noise reductionAdaptabilityBiologyEcologySeismologyGeologyFault Detection and Control SystemsMachine Fault Diagnosis TechniquesAnomaly Detection Techniques and Applications
An improved ensemble fusion autoencoder model for fault diagnosis from imbalanced and incomplete data | Litcius