Author

Jie Yang

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Oct 2026

A novel bearing fault diagnosis approach combining F-VMD with CNN-BiLSTM and cross-attention

To enhance the reliability and accuracy of bearing fault diagnosis under challenging operating conditions, this study proposes a method that integrates a combined fast Fourier transform (FFT) and variational mode decomposition (VMD) preprocessing framework with a convolutional neural network (CNN)-bidirectional long sh...

Jie Li, Yu-Ying Wang, Jie Yang et al. · Engineering Research Express · 0 citations

Open access Aug 2026

Dual-attention-enhanced Alexnet for fault diagnosis in multi-energy complementary power systems

According to the findings, the dual-attention network together with the hybrid dilation approach improves the performance of multi-energy complementary power system fault diagnosis by increasing the convergence speed, monitoring accuracy, and reducing the number of false alarms.

Xiuli Zheng, Ying-Tang Zhang, Ji-Yang Zhang et al. · Engineering Research Express · 0 citations