Spatial–temporal masked graph autoencoder for rotating machinery fault diagnosis with limited data
Journal of Vibration and Control
Published online on March 18, 2025
Abstract
Journal of Vibration and Control, Volume 32, Issue 9-10, Page 2088-2102, May 2026.
Due to the difficulty and high cost associated with obtaining samples of faults in rotating machinery, current intelligent fault diagnosis methods struggle to extract sufficiently diverse fault features, leading to poor diagnostic performance. ...
Due to the difficulty and high cost associated with obtaining samples of faults in rotating machinery, current intelligent fault diagnosis methods struggle to extract sufficiently diverse fault features, leading to poor diagnostic performance. ...