Coupling Fault Diagnosis of Bearings Based on Hypergraph Neural Network
Shenglong Wang,
Xiaoxuan Jiao,
Bo Jing
et al.
Abstract:Coupling faults that simultaneously occur during the operation of mechanical equipment are widespread. These faults encompass a diverse range of high-order coupling relationships, involving multiple base fault types. Based on the advantages of hypergraphs for higher-order relationship descriptions, two coupling fault diagnosis architectures based on the hypergraph neural network are proposed in this paper: 1. In the coupling fault diagnosis framework based on feature generation, the base faults serve as the hy… Show more
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