A Prior Knowledge Embedding Contrastive Attention Learning Network for Variable Working Conditions Bearing Fault Diagnosis With Small Samples

In practical industrial applications, rolling bearing fault diagnosis faces significant challenges due to the difficulty in collecting fault data, resulting in a scarcity of available data. This scarcity undermines the accuracy, robustness, and generalization capabilities of diagnostics in complex s...

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