ZhaoZhibin / Basic-Rotating-Machine-Vibration-Analysis
These codes realize data transformation and simple data processing for fault diagnosis.
☆81Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Basic-Rotating-Machine-Vibration-Analysis
- Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…☆88Updated 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…☆40Updated 6 years ago
- TensorFlow implementation of a CNN based mechanical science paper☆45Updated 6 years ago
- ☆23Updated 2 years ago
- Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox☆36Updated last year
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆41Updated 4 years ago
- Siamese network for bearing fault diagnosis☆83Updated 4 years ago
- Fault Diagnosis on Bearing Dataset☆32Updated 4 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆40Updated 3 years ago
- ☆59Updated 5 years ago
- domain adaption with LSGAN for bearing fault diagnosis☆68Updated 6 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆86Updated 5 years ago
- ☆16Updated 5 years ago
- Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox☆46Updated 2 years ago
- Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".☆79Updated 5 years ago
- ☆91Updated 2 years ago
- with LSTM method to solve bearing fault diagnosis classification☆62Updated 7 years ago
- Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"☆19Updated 4 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☆16Updated 4 years ago
- ☆48Updated last year
- Fault Diagnosis with Machine Learning Methods, the dissertation project of my MSc Data Science degree at King's College London☆12Updated 5 years ago
- ☆22Updated 4 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆24Updated 4 years ago
- TE data diagnosis using pytorch☆21Updated 5 years ago
- ☆93Updated 3 years ago
- ☆38Updated 2 years ago
- FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断☆26Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆17Updated 4 years ago
- Remain useful life prediction of rolling bearing.☆46Updated 4 years ago