A multi-sensor fault diagnosis method for rotating machinery based on series expansion and cooperation strategy
Structural Health Monitoring: An International Journal
Published online on February 17, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
The data-driven multi-sensor graph neural network (GNN) method is one of the key technologies for rotating machinery fault diagnosis. This paper innovatively proposes a selective and cooperative serial expansion GNN method for fault diagnosis. It aims to ...
The data-driven multi-sensor graph neural network (GNN) method is one of the key technologies for rotating machinery fault diagnosis. This paper innovatively proposes a selective and cooperative serial expansion GNN method for fault diagnosis. It aims to ...