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An improved GNN using dynamic graph embedding mechanism: A novel end-to-end framework for rolling bearing fault diagnosis under variable working conditions
Publication with shared reference
10.1016/j.ymssp.2023.110534
Home
Publications
An improved GNN using dynamic graph embedding mechanism: A novel end-to-end framework for rolling bearing fault diagnosis under variable working conditions
Publication with shared reference
10.1016/j.ymssp.2023.110534
Publications with shared reference:
An improved GNN using dynamic graph embedding mechanism: A novel end-to-end framework for rolling bearing fault diagnosis under variable working conditions
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