Jaehoon9201 / PyTorch-1D-ACGAN-Data-AugmentationLinks
PyTorch-1D-ACGAN for data generation. It can also work as classfier
☆21Updated 4 years ago
Alternatives and similar repositories for PyTorch-1D-ACGAN-Data-Augmentation
Users that are interested in PyTorch-1D-ACGAN-Data-Augmentation are comparing it to the libraries listed below
Sorting:
- New GAN models in dataset of CWRU☆45Updated 3 years ago
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆88Updated 4 years ago
- implementation of several GANs with pytorch☆167Updated 3 years ago
- for my thesis work☆19Updated 4 years ago
- ☆10Updated 6 years ago
- Chiller Fault Diagnosis based on VAE Enabled Generative Adversarial Networks☆45Updated 5 years ago
- The code for paper "Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection"☆21Updated 2 years ago
- Experiments performed to analyse the CNN on the CWRU data set.☆14Updated 5 years ago
- TensorFlow implementation of a CNN based mechanical science paper☆47Updated 7 years ago
- Siamese network for bearing fault diagnosis☆93Updated 6 years ago
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆16Updated 4 years ago
- domain adaption with LSGAN for bearing fault diagnosis☆78Updated 7 years ago
- Multiclass classification of vibration signals of faulty bearings☆101Updated 6 years ago
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆25Updated 4 years ago
- 智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis☆115Updated 2 years ago
- improved by ACWGAN-gp☆10Updated 5 years ago
- using WGAN to generate fault bearing vibration signals☆52Updated 7 years ago
- 利用深度学习自编码器进行故障诊断的程序☆10Updated 7 years ago
- wdcnn model for bearing fault diagnosis☆34Updated 6 years ago
- ☆29Updated 3 months ago
- ☆92Updated 5 years ago
- imbalanced fault diagnosis☆14Updated 5 years ago
- The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.☆26Updated 5 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆48Updated 4 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆27Updated 6 years ago
- This is the code for WaveletKernelNet.☆141Updated last year
- This is a repository of code and experiment data for paper <A probability confidence CNN model and its application in mechanical fault di…☆10Updated 4 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆61Updated 3 years ago
- Explanation of 1D CNN☆60Updated 7 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆24Updated 5 years ago