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Multi-scale adaptive graph convolutional network for gearbox fault diagnosis

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Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, Ahead of Print.
Fault diagnosis is critical for ensuring the reliability and safety of industrial systems. Recently, graph convolutional networks (GCN) have gained significant attention for fault classification due to their ability to model complex dependencies in sensor ...