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1. Rolling-bearing-fault-diagnosis-use-wavelet-and-CNN Rolling-bearing-fault-diagnosis-use-wavelet-and-CNN Public

   对轴承数据进行小波包变换提取其中的能量谱特征共256维。将其转化为16*16的矩阵输入进CNN进行故障诊断分类

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2. Rolling-bearing-fault-diagnosis-use-HHT-and-sdae Rolling-bearing-fault-diagnosis-use-HHT-and-sdae Public

   1,利用经验模态分解与希尔伯特变换进行轴承数据的包络谱计算2，利用PCA对提取到的包络谱特征进行降维 3，将降维后的数据输入到堆栈降噪自动编码器进行分类器建模

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3. Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning Public

   Forked from SNBQT/Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning

   This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

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4. mygit mygit Public

5. models models Public

   Forked from tensorflow/models

   Models and examples built with TensorFlow

   Python

6. Hands-On-Transfer-Learning-with-Python Hands-On-Transfer-Learning-with-Python Public

   Forked from PacktPublishing/Hands-On-Transfer-Learning-with-Python

   Hands On Transfer Learning with Python, published by Packt

   Jupyter Notebook