zhbink / 2017-IndustryBigDataLinks
2017工业大数据 风机叶片预测
☆61Updated 5 years ago
Alternatives and similar repositories for 2017-IndustryBigData
Users that are interested in 2017-IndustryBigData are comparing it to the libraries listed below
Sorting:
- [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
- ☆141Updated 8 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
- Deep learning in PHM,Deep learning in fault diagnosis,Deep learning in remaining useful life prediction☆470Updated 4 years ago
- 轴承故障检测 训练赛第30名代码☆139Updated 6 years ago
- ☆178Updated 4 years ago
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆90Updated 7 years ago
- ☆291Updated 7 years ago
- 基于深度学习机械设备故障诊断模型☆173Updated 8 years ago
- 刀具剩余寿命预测☆73Updated 5 years ago
- 使用TensorFlow建立简单的轴承故障诊断模型☆105Updated 7 years ago
- Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute☆148Updated 7 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
- Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute☆152Updated 5 years ago
- ☆87Updated 3 years ago
- 故障诊断方面的论文阅读☆16Updated 6 years ago
- to prediction the remain useful life of bearing based on 2012 PHM data☆305Updated 4 years ago
- 完整的航空发动机一维卷积神经网络训练模型☆64Updated 6 years ago
- 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
- ☆215Updated 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
- 2018 phm data challenge, ion mill machine RUL & fault diagnosis☆70Updated 7 years ago
- fault detection in wind turbines☆17Updated 5 years ago
- this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.☆306Updated 2 years ago
- ☆92Updated 5 years ago
- CNN for mechanical fault diagnosis☆327Updated 7 years ago
- for wind turbine phm☆18Updated 7 years ago
- Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox☆54Updated 4 years ago
- 采用一种包含加权水平可见图(WHVG)的图卷积网络(GCN),对采样的轴承震动时间序列数据分析,进行滚动轴承故障诊断。其中,对HVG中两节点的边,以节点距离的倒数作为权重进行加权,以削弱噪声节点对其他距离较远节点的影响。☆45Updated 2 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆192Updated 3 years ago