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Aug 2026

Wavelet convolutional bidirectional temporal network and modified informer for RUL prediction of wind turbines under non-stationary conditions

Remaining useful life prediction for rotating machinery under non-stationary operating conditions demands effective extraction of degradation features from multi-sensor signals with varying spectral characteristics. This study proposes a WKCL-MBiTCN-Modified Informer hybrid framework that integrates a wavelet kernel co...

Dong Yang, Jun Shao, Cun Yang et al. · 0 citations
Aug 2026

FCTAN: A frequency-constrained temporal attention network for rolling bearing remaining useful life prediction

Accurate remaining useful life (RUL) prediction of rolling bearings is crucial for condition-based maintenance of rotating machinery. However, vibration-based degradation modeling remains challenging due to strong noise interference, multi-scale temporal dynamics, and the difficulty of jointly capturing local degradati...

Xiaoxue Guo, Chao Zhang, Yun-Fan Ma et al. · 0 citations

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