MrTangsai / BearLSTM
with LSTM method to solve bearing fault diagnosis classification
☆62Updated 7 years ago
Related projects: ⓘ
- ☆57Updated 5 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆82Updated 5 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆77Updated 5 years ago
- Fault Diagnosis on Bearing Dataset☆32Updated 4 years ago
- CNN applied to bearing signals for analysis☆87Updated 4 years ago
- 基于深度学习的滚动轴承故障诊断方法☆160Updated 5 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☆31Updated 5 years ago
- ☆189Updated 4 years ago
- TensorFlow implementation of a CNN based mechanical science paper☆43Updated 6 years ago
- domain adaption with LSGAN for bearing fault diagnosis☆66Updated 6 years ago
- Siamese network for bearing fault diagnosis☆81Updated 4 years ago
- Spark - Bearing RUL Predictions☆19Updated 7 years ago
- ☆23Updated 2 years ago
- Remaining Useful Life Prediction Using RNN/LSTM/GRU Neural Networks☆117Updated 2 years ago
- Using LSTM to predict Remaining Useful Life of CMAPSS Dataset☆80Updated 5 years ago
- : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…☆37Updated 6 years ago
- CNN for mechanical fault diagnosis☆279Updated 6 years ago
- ☆90Updated 5 years ago
- 轴承故障检测 训练赛第30名代码☆122Updated 5 years ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆126Updated 2 years ago
- Using LSTM to predict bearings' remaining useful life☆44Updated 3 years ago
- zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-NeuInspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆100Updated 3 months ago
- ☆132Updated 6 years ago
- bearing fault diagnosis☆9Updated 4 years ago
- Remain useful life prediction of rolling bearing.☆45Updated 3 years ago
- ☆58Updated 3 years ago
- try out bearing fault diagnosis with semi-supervised vae☆38Updated 6 years ago
- ☆47Updated last year
- Transfer learning☆43Updated 3 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆31Updated 3 years ago