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Prediction of fatigue remaining useful life based on data/physics combination driven under natural spalling condition for rolling bearing inner ring
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DOI：10.1016/j.enganabound.2026.106821.png)
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Abstract
En 中文
• The fatigue spalling evolution model of the rolling bearing inner ring is constructed to simulate the fatigue crack initiation and propagation of the bearing inner ring under cyclic loading. • The characteristics of the fatigue defect state in the evolution model are introduced to construct a high-fidelity model of rolling bearing based on the coupling of damage and dynamics. • The generative adversarial network is used to realize the interactive coupling between the real-time monitoring data of rolling bearings and the corresponding data of twins. • The improved feature mode decomposition is used to identify the inner ring defect size under the natural spalling state, to construct the local-to-global 'update' module for the high-fidelity model of rolling bearings. • The gated recurrent unit combined with the attention mechanism is used to accurately predict the remaining useful life of the rolling bearing under the natural spalling state.
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