A fault diagnosis method for rotating machine based on feature fusion and heterogeneous graph neural networks
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on July 03, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
To address the challenge of multi-sensor information fusion in rotating machinery fault monitoring and diagnosis, this paper proposes a novel fault diagnosis method based on multi-sensor feature fusion using a heterogeneous neural network. First, after ...
To address the challenge of multi-sensor information fusion in rotating machinery fault monitoring and diagnosis, this paper proposes a novel fault diagnosis method based on multi-sensor feature fusion using a heterogeneous neural network. First, after ...