Attention Mechanism-Based Feature Fusion and Degradation State Classification for Rolling Bearing Performance Assessment.

According to the experimental results, it can be found that the Transformer attention mechanism model-based bearing health indicator construction method has good performance in both the health index curve obtained has an obvious trend of increasing with time, which reflects the good characterization ability of the health index on the degradation degree of the bearing.

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