Deep-Convolutional-Neural-Networks-with-Wide-First-layer-Kernels

这是一个首层卷积为宽卷积的深度神经网络Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN)的实现，该模型具有优越的抗噪能力，可用于轴承的智能故障诊断。

通过借鉴该模型，发表科研论文两篇

Intelligent Motor Bearing Fault Diagnosis Using Channel Attention-Based CNN

Fault diagnosis method for imbalanced bearing data based on W-DCGAN

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
0HP		0HP
1HP		1HP
2HP		2HP
3HP		3HP
__pycache__		__pycache__
acc		acc
gitIMGs		gitIMGs
ims		ims
model		model
otherModels		otherModels
pic		pic
temp		temp
README.md		README.md
model.py		model.py
modelComsuming_1DCNN_Time.npy		modelComsuming_1DCNN_Time.npy
modelComsuming_WDCNN_AdaBN_Time.npy		modelComsuming_WDCNN_AdaBN_Time.npy
modelComsuming_WDCNN_Time.npy		modelComsuming_WDCNN_Time.npy
noise.py		noise.py
plt_123恒定工况折线.py		plt_123恒定工况折线.py
plt_1hp_ten_fault_visualize.py		plt_1hp_ten_fault_visualize.py
plt_box.py		plt_box.py
plt_confusion_matrix.py		plt_confusion_matrix.py
plt_conv_fea_map.py		plt_conv_fea_map.py
plt_cross_accuracy.py		plt_cross_accuracy.py
plt_epoch_acc_and_loss.py		plt_epoch_acc_and_loss.py
plt_tsne.py		plt_tsne.py
preprocess_for_diagnosis.py		preprocess_for_diagnosis.py
train.py		train.py

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