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Remain useful life prediction of rolling bearing.

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Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings

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1 提出了一种新的相似度损失(SimL)，用于增大类间差异同时减小类内差异；2 SimL+CE优化CNN；3 基于电信号诊断轴承故障

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An implementation of Deep Adaptation Network with pytorch

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edge detection + CNN

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Using "tf. data" to build data sets on jupyter notebook and tf. keras to build ResNet-18

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ecg classfication

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my first github code

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install openpose: win10+vs2017+cuda10.1+cmake+python

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One model for RUL and fault prognostic prediction on XJTU bearing dataset

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把BJUT、CWRU、IMS三个数据集划分成2048长度的样本，和（2048，256）的CWT矩阵

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GNN(graph classification neural network) implementation by tensorflow.

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a ✨special ✨ repository about GitHub profile

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