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Adaptive Graph Construction and Feature-Enhanced Graph Neural Network for Few-Shot Bearing Fault Diagnosis under Variable Conditions

2026-07-27

Abstract excerpt

<title>Abstract</title> <p>To address the issue of insufficient cross-condition generalization capability caused by the scarcity of fault samples and the variability of operating conditions in real industrial scenarios, this paper proposes an Adaptive Graph Construction and Feature-Enhanced Graph Neural Network (AG-MS-GNN) for few-shot bearing fault diagnosis under variable operating conditions. The proposed meth...

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Literature Corpus work
fbda8acd-82a5-5be0-9b8b-c89afafaf9d1
DOI
10.21203/rs.3.rs-10407371/v1
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Adaptive Graph Construction and Feature-Enhanced Graph Neural Network for Few-Shot Bearing Fault Diagnosis under Variable ConditionsDOI 10.21203/rs.3.rs-10407371/v1
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