StChenHaoGitHub / 1D_Pytorch_Train_demo
A pytorch train demo with classical CNN models
☆15Updated 4 months ago
Alternatives and similar repositories for 1D_Pytorch_Train_demo:
Users that are interested in 1D_Pytorch_Train_demo are comparing it to the libraries listed below
- Case Western Reserve University Bearing Fault Dataset☆23Updated 3 years ago
- 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
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆54Updated 3 years ago
- 深度残差收缩网络处理一维时域信号☆37Updated last year
- A python program to build ResNet-1D model and DRSN-1D model in keras environment.☆11Updated last year
- ☆74Updated 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
- 一种轻量化故障诊断框架——LiConvFormer☆77Updated 3 weeks ago
- 分享的所有数据集均为开源的PHM（Prognostics and Health Management）数据，涵盖故障诊断、健康评估和寿命预测等领域。☆93Updated 7 months ago
- Using transformer to realize Bearing Fault Diagnosis☆59Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆34Updated 2 years ago
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆77Updated this week
- 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
- 基于机器学习的机械故障诊断☆16Updated 10 months ago
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆24Updated 7 months ago
- A few shot learning repository for bearing fault diagnosis.☆73Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆17Updated last year
- 基于深度学习的机械故障诊断☆27Updated 10 months ago
- ☆51Updated last year
- Code sharing of fault diagnosis papers.☆47Updated last year
- Awsome-Multi-modal-based PHM （基于多模态的故障诊断和预测）☆44Updated 8 months ago
- 基于深度学习的机械设备故障诊断方法研究☆25Updated 2 years ago
- ☆23Updated 3 years ago
- 实现的是WDCNN的pytorch版本代码，对应论文的第三章 data包含了四个数据文件夹，这里只使用了0HP文件夹中的数据，里面包含了正常、内圈、外圈、滚动体共10种状态 preprocess.py的功能是对数据进行采样、编码，虽然划分出来了验证集但是并没有使用 trai…☆23Updated 2 years 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
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆19Updated last year
- ☆31Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆30Updated last year
- ☆93Updated last year