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Author

Wu Tang

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2 papers indexed here

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Oct 2026

A degradation-informed RUL prediction method for rolling bearings using RBSU-FI feature selection and a BiLSTM network

Rolling bearings are critical components of rotating machinery, and accurate remaining useful life (RUL) prediction is essential for predictive maintenance. However, the nonlinear nature of bearing degradation makes degradation onset difficult to identify, while weakly relevant features may compromise prediction reliab...

Xu-Dong Song, Lin-Lin Song, Wu Tang et al. · 0 citations
Sep 2026

A two-stage method for remaining useful life prediction of rolling bearings using an envelope-spectrum Wasserstein health indicator and ExtraTrees-guided residual correction

Accurate remaining useful life (RUL) prediction of rolling bearings is essential for predictive maintenance and the safe operation of rotating machinery. However, fault impulses are often weak during early degradation, limiting the ability of conventional statistical features to represent incipient damage. Bearings als...

Xu-Dong Song, Cong-Zhi Guan, Wu Tang · 0 citations

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