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Author

Jia-Hao Li

2 papers indexed here

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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. · 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. · 0 citations

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