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 3 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
- 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
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆195Updated 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☆246Updated 2 years ago
- 轴承故障检测 训练赛第30名代码☆140Updated 6 years ago
- A python program to build ResNet-1D model and DRSN-1D model in keras environment.☆11Updated 2 years ago
- ☆57Updated 9 months 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
- ☆113Updated 3 years ago
- 基于无监督和迁移学习的旋转机械故障诊断☆33Updated 6 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
- slothai项目开源代码合集☆222Updated 9 months ago
- Encoding time series as images using GAF operation by pyts.☆228Updated 3 years ago
- fault detection in wind turbines☆17Updated 5 years ago
- ☆33Updated 2 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
- this code implements the Bayesian-MCMC based prognostics model. PHM2010 data challenge data are used to verifty the model.☆20Updated 5 years ago
- ☆215Updated 6 years ago
- ☆291Updated 7 years ago
- 粒子群算法优化支持向量机☆143Updated 3 years ago
- 基于VMD-Attention-LSTM的时间序列预测模型(代码仅使用了一个较小数据集的训练及预测,内含使用使用 逻辑,适合初学者观看,模型结构是可行的,有能力的请尝试使用更大的数据集训练)☆68Updated 2 years ago
- Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection(基于半监督密度聚类+增量学习的故障诊断)☆87Updated 3 years ago
- ☆119Updated 6 years ago
- 使用多种算法(线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM)进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vecto…☆180Updated 5 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
- ☆104Updated last year
- 深度残差收缩网络处理一维时域信号☆36Updated 2 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆147Updated 4 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆306Updated 4 years ago
- [深度应用]·DC竞赛轴承故障检测开源Baseline(基于Keras1D卷积 val_acc:0.99780)☆203Updated 6 years ago