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Remaining useful life prediction based on self-attention mechanism -sequential variational autoencoder: From a semi-supervised perspective

Jiusi Zhang, Kai Chen, Fan Wu, Quan Qian, Tenglong Huang, Yuhua Cheng, Shen Yin

2025Advanced Engineering Informatics25 citationsDOI

Topics & Concepts

InterpretabilityAutoencoderComputer scienceArtificial intelligenceTrajectoryMachine learningFeature (linguistics)Artificial neural networkDynamic Bayesian networkSerializationFunction (biology)Data miningMechanism (biology)State (computer science)Key (lock)Deep learningPerspective (graphical)DependabilityReliability (semiconductor)Focus (optics)State spaceBayesian probabilityCorrectnessTask (project management)Bayesian networkBayesian inferenceFault (geology)Feature vectorLatent variableMachine Fault Diagnosis TechniquesReliability and Maintenance OptimizationAnomaly Detection Techniques and Applications
Remaining useful life prediction based on self-attention mechanism -sequential variational autoencoder: From a semi-supervised perspective | Litcius