Author

Yan-Xue Wang

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Sep 2026

Adaptive ordinal pattern based mode decomposition guided by ordinal structural entropy for rotating machinery fault diagnosis

Extracting weak and compound fault features from rotating machinery signals remains challenging because strong noise and multi-source modulation severely degrade the reliability of conventional decomposition methods. This study proposes an ordinal structure-guided adaptive ordinal pattern (OP) based mode decomposition...

Wen-Tao Ju, Xin-Ming Li, Jia-Hao Li et al. · Structural Health Monitoring · 0 citations

Open access Aug 2026

An energy-efficient spiking neural network accelerator on FPGA for real-time health monitoring of rotating machinery

An efficient diagnostic framework based on a field-programmable gate array (FPGA)-accelerated SNN integrating local spike-timing-dependent plasticity and global backpropagation through time is proposed, outperforming existing lightweight convolutional neural network-FPGA acceleration schemes.

Ke-Hui Zhu, Jin-Rui Zhang, Xin-Ming Li et al. · Structural Health Monitoring · 0 citations

Open access Jul 2026

An optimized method for few-shot cross-domain bearing fault diagnosis based on intraclass relationship enhancement

MAML is enhanced by incorporating a Sample Relationship Exploration module that learns intra-class similarity to improve class separability and replaces the fixed inner-loop update scheme in MAML with a trapezoidal gradient descent scheduler that adapts the number of inner-loop update steps across training.

Zhi-Gang Chen, HaSitieer MaDetihan, Zhihao Zhang et al. · Engineering Research Express · 0 citations