ddrrrr / bearing-fault-diagnosis
domain adaption with LSGAN for bearing fault diagnosis
☆66Updated 6 years ago
Related projects: ⓘ
- Fault Diagnosis on Bearing Dataset☆32Updated 4 years ago
- Siamese network for bearing fault diagnosis☆81Updated 4 years ago
- TensorFlow implementation of a CNN based mechanical science paper☆43Updated 6 years ago
- ☆57Updated 5 years ago
- ☆23Updated 2 years ago
- wdcnn model for bearing fault diagnosis☆32Updated 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…☆37Updated 6 years ago
- try out bearing fault diagnosis with semi-supervised vae☆38Updated 6 years ago
- with LSTM method to solve bearing fault diagnosis classification☆62Updated 7 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆77Updated 5 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 4 years ago
- bearing fault diagnosis☆9Updated 4 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆82Updated 5 years ago
- Transfer learning☆43Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆24Updated 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☆31Updated 3 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
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆19Updated 4 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆110Updated 4 years ago
- deep learning methods for bearing fault diagnosis☆14Updated 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
- Spark - Bearing RUL Predictions☆19Updated 7 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆76Updated 2 years ago
- CNN applied to bearing signals for analysis☆87Updated 4 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
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆17Updated 4 years ago
- New GAN models in dataset of CWRU☆34Updated 2 years ago
- ☆22Updated 4 years ago
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆71Updated 2 years ago
- fault_diagnosis☆19Updated 5 years ago