fish-kong / CSDN-code-linkLinks
由于CSDN博客里面不能直接上代码链接,涉嫌营销推广,因此建一个github仓库用于整理这些代码链接
☆153Updated 2 years ago
Alternatives and similar repositories for CSDN-code-link
Users that are interested in CSDN-code-link are comparing it to the libraries listed below
Sorting:
- 完整的航空发动机一维卷积神经网络训练模型☆64Updated 6 years ago
- A python program to build ResNet-1D model and DRSN-1D model in keras environment.☆11Updated 2 years ago
- ☆32Updated 2 years ago
- 基于无监督和迁移学习的旋转机械故障诊断☆33Updated 5 years ago
- ☆113Updated 3 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆171Updated 4 years ago
- 基于一维卷积神经网络(1D-CNN)的多元时间序列分类☆80Updated 5 years ago
- 毕设研究课题:根据轴承的振动序列数据来诊断轴承故障。☆134Updated 4 years ago
- 轴承故障检测 训练赛第30名代码☆136Updated 6 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☆241Updated 2 years ago
- ☆104Updated last year
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆189Updated 3 years ago
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆100Updated 4 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆303Updated 4 years ago
- ☆87Updated 3 years ago
- ☆59Updated 2 years ago
- 机械故障诊断公开数据集☆71Updated 2 years ago
- ☆290Updated 7 years ago
- 基于可变形卷积和注意力机制的滚动轴承 故障诊断☆49Updated 4 years ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆52Updated 2 years ago
- This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection a…☆53Updated 4 years ago
- ☆57Updated 8 months ago
- ☆117Updated 6 years ago
- Use GRU,LSTM,CNN to predict the RUL in C-MAPSS dataset☆31Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆189Updated last year
- ☆71Updated 4 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆147Updated 3 years ago
- ☆215Updated 6 years ago
- 深度残差收缩网络处理一维时域信号☆36Updated 2 years ago
- this code implements the Bayesian-MCMC based prognostics model. PHM2010 data challenge data are used to verifty the model.☆20Updated 4 years ago