silence-club / DRSN-1D
深度残差收缩网络处理一维时域信号
☆37Updated last year
Alternatives and similar repositories for DRSN-1D:
Users that are interested in DRSN-1D are comparing it to the libraries listed below
- Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis(pytorch) 深度残差收缩网络应用于故障诊断☆211Updated last year
- ☆94Updated 2 years ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆34Updated last year
- ☆93Updated last year
- ☆51Updated last year
- The intelligent fault diagnosis methods of HNU IDG☆62Updated 2 years ago
- A python program to build ResNet-1D model and DRSN-1D model in keras environment.☆11Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆64Updated 8 months ago
- ☆74Updated 2 years ago
- New GAN models in dataset of CWRU☆38Updated 2 years ago
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆48Updated 10 months ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆103Updated last year
- 基于可变形卷积和注意力机制的滚动轴承故障诊断☆44Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆73Updated last year
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)☆50Updated last year
- 一维卷积神经网络☆38Updated 5 years ago
- The intelligent fault diagnosis of HNU IDG☆83Updated 2 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆54Updated 2 years ago
- ☆31Updated 2 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆143Updated 2 years ago
- Using transformer to realize Bearing Fault Diagnosis☆59Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆34Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆17Updated last year
- 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。☆39Updated last year
- The PyTorch implementation for multi-task attention guided network (MTAGN) in End to End Multi-task learning with Attention for Multi-obj…☆21Updated last year
- This is the code for WaveletKernelNet.☆116Updated 3 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆30Updated last year
- Siamese network for bearing fault diagnosis☆86Updated 5 years ago
- Denoising method for C-MAPSS based on a denoising GAN. Includes other six denoising methods such as DAE, SG filter, etc.☆11Updated 2 years ago
- ☆82Updated 4 months ago