zhaoyuzhi / A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
TensorFlow implementation of a CNN based mechanical science paper
☆45Updated 6 years ago
Alternatives and similar repositories for A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method
Users that are interested in A-New-Convolutional-Neural-Network-Based-Data-Driven-Fault-Diagnosis-Method are comparing it to the libraries listed below
Sorting:
- Fault Diagnosis on Bearing Dataset☆32Updated 5 years ago
- domain adaption with LSGAN for bearing fault diagnosis☆73Updated 6 years ago
- with LSTM method to solve bearing fault diagnosis classification☆61Updated 7 years ago
- Siamese network for bearing fault diagnosis☆88Updated 5 years ago
- ☆23Updated 2 years ago
- ☆60Updated 5 years ago
- wdcnn model for bearing fault diagnosis☆32Updated 5 years ago
- TE data diagnosis using pytorch☆20Updated 6 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆83Updated 6 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆19Updated 4 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…☆50Updated 7 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆24Updated 5 years ago
- Transfer learning☆50Updated 3 years ago
- 基于CNN、特征螺旋排列、奇异值分解、Hankel矩阵的故障诊断方法☆10Updated 5 years ago
- 基于迁移学习的离心泵滚动轴承故障自动识别方法研究☆15Updated 4 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆41Updated 3 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- deep learning methods for bearing fault diagnosis☆13Updated 6 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆92Updated 5 years ago
- ☆103Updated 2 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 …☆120Updated 2 months ago
- fault_diagnosis☆18Updated 6 years ago
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆52Updated last year
- These codes realize data transformation and simple data processing for fault diagnosis.☆87Updated 7 years ago
- try out bearing fault diagnosis with semi-supervised vae☆38Updated 7 years ago
- 基于无监督和迁移学习的旋转机械故障诊断☆32Updated 5 years ago
- bearing fault diagnosis☆8Updated 5 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 3 years ago
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆82Updated 3 years ago
- ☆10Updated 6 years ago