dreamingfish2011 / ml_dlLinks
机器学习和深度学习练习
☆13Updated 6 years ago
Alternatives and similar repositories for ml_dl
Users that are interested in ml_dl are comparing it to the libraries listed below
Sorting:
- 包含一些比较常见的数据挖掘竞赛或者项目的源码☆131Updated 6 years ago
- ☆20Updated 6 years ago
- 基于深度学习机械设备故障诊断 模型☆173Updated 8 years ago
- 轴承有3种故障:外圈故障,内圈故障,滚珠故障,外加正常的工作状态。如表1所示,结合轴承的3种直径(直径1,直径2,直径3),轴承的工作状态有10类☆35Updated 6 years ago
- LSTM和SVM实现设备故障诊断☆50Updated 6 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
- 使用TensorFlow建立简单的轴承故障诊断模型☆105Updated 7 years ago
- ☆141Updated 8 years ago
- 2018 phm data challenge, ion mill machine RUL & fault diagnosis☆70Updated 7 years ago
- ☆178Updated 4 years ago
- 轴承故障检测 训练赛第30名代码☆139Updated 6 years ago
- start tests☆23Updated 7 years ago
- 刀具剩余寿命预 测☆73Updated 5 years ago
- 2017工业大数据创新竞赛/风机叶片结冰预测大赛☆48Updated 7 years ago
- CNN applied to bearing signals for analysis☆92Updated 6 years ago
- 🧠 A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees☆34Updated 4 years ago
- ☆55Updated 8 years ago
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆90Updated 7 years ago
- 这是我的毕业设计,本人本科机械,但是读直博到计算机,所以毕业设计双向都有涉及。权当是练手之作了,请勿见笑☆83Updated 7 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
- 1D CNN for CWRU rolling bearings dataset☆45Updated 7 years ago
- Analysis of CWRU Bearing Data Set and Development of WeChat Mini Program Interface☆56Updated 3 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
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆104Updated 5 years ago
- with LSTM method to solve bearing fault diagnosis classification☆63Updated 8 years ago
- 2020 第四届工业大数据创新竞赛-水电站入库流量预测-top1代码☆33Updated 5 years ago
- try out bearing fault diagnosis with semi-supervised vae☆40Updated 8 years ago
- 2019科大讯飞工程机械赛题-亚军☆39Updated 6 years ago
- using WGAN to generate fault bearing vibration signals☆52Updated 7 years ago
- modified knn for fault classification☆18Updated 8 years ago