Litcius/Paper detail

A novel unsupervised deep learning approach for vibration-based damage diagnosis using a multi-head self-attention LSTM autoencoder

Shayan Ghazimoghadam, S.A.A. Hosseinzadeh

2024Measurement83 citationsDOI

Topics & Concepts

AutoencoderArtificial intelligenceHead (geology)Deep learningComputer sciencePattern recognition (psychology)VibrationMachine learningAcousticsGeologyPhysicsGeomorphologyStructural Health Monitoring TechniquesInfrastructure Maintenance and MonitoringUltrasonics and Acoustic Wave Propagation
A novel unsupervised deep learning approach for vibration-based damage diagnosis using a multi-head self-attention LSTM autoencoder | Litcius