Zichen-Yan / Fault-diagnosisLinks
Fault Diagnosis on Bearing Dataset
☆32Updated 5 years ago
Alternatives and similar repositories for Fault-diagnosis
Users that are interested in Fault-diagnosis are comparing it to the libraries listed below
Sorting:
- ☆23Updated 3 years ago
- domain adaption with LSGAN for bearing fault diagnosis☆74Updated 7 years ago
- with LSTM method to solve bearing fault diagnosis classification☆61Updated 8 years ago
- Siamese network for bearing fault diagnosis☆90Updated 5 years ago
- deep learning methods for bearing fault diagnosis☆13Updated 6 years ago
- ☆62Updated 6 years ago
- TensorFlow implementation of a CNN based mechanical science paper☆46Updated 7 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- wdcnn model for bearing fault diagnosis☆33Updated 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 5 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆96Updated 6 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
- 基于无监督和迁移学习的旋转机械故障诊断☆33Updated 5 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆83Updated 6 years ago
- ☆211Updated 5 years ago
- fault_diagnosis☆18Updated 6 years ago
- Spark - Bearing RUL Predictions☆19Updated 8 years ago
- ☆108Updated 2 years ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆263Updated 2 years ago
- Transfer learning☆53Updated 4 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆26Updated 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…☆55Updated 7 years ago
- ☆10Updated 6 years ago
- 基于深度学习的滚动轴承故障诊断方法☆197Updated 6 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 …☆131Updated 6 months 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☆32Updated 6 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆46Updated 4 years ago
- ☆45Updated 3 years ago
- ☆105Updated 6 years ago
- Fault Diagnosis of Interturn short circuit of Permanent Magnet Synchronous Motor based on Depth Learning☆20Updated 7 years ago