LSTA-Net framework: Pioneering intelligent diagnostics for insulating bearings under real-world complex operational conditions and its interpretability
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Elsevier BV
Reference50 articles.
1. Fault detection of wind turbine generator bearing using attention-based neural networks and voting-based strategy;Yang;IEEE/ASME Trans. Mechatron.,2021
2. The TSM-net: a new strategy for insulated bearings intelligent faults diagnosis;Yang;Phys. Scr.,2023
3. Rolling bearing fault detection of civil aircraft engine based on adaptive estimation of instantaneous angular speed;Wang;IEEE Trans. Ind. Inf.,2019
4. Deep time–frequency learning for interpretable weak signal enhancement of rotating machineries;Ding;Eng. Appl. Artif. Intel.,2023
5. Wavelet transform for rotary machine fault diagnosis:10 years revisited;Yan;Mech. Syst. Sig. Process.,2023
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