XiongMeijing / CWRU-1Links
Multiclass classification of vibration signals of faulty bearings
☆98Updated 6 years ago
Alternatives and similar repositories for CWRU-1
Users that are interested in CWRU-1 are comparing it to the libraries listed below
Sorting:
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆94Updated 9 months ago
- ☆279Updated 7 years ago
- Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute☆148Updated 5 years ago
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆88Updated last year
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆158Updated 2 years ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆272Updated 2 years ago
- Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute☆139Updated 7 years ago
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆85Updated 3 years ago
- ☆41Updated 3 years ago
- ☆106Updated last year
- Siamese network for bearing fault diagnosis☆91Updated 5 years ago
- This is a dataset of inter-shaft bearing based on the vibration signal of rotors and casings, which comes from a aero-engine test with in…☆89Updated last year
- ☆111Updated 6 years ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆361Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆130Updated 5 years ago
- ☆109Updated 2 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆173Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- New GAN models in dataset of CWRU☆43Updated 3 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆86Updated 5 months ago
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆23Updated 3 years ago
- ☆54Updated 2 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆96Updated 2 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆169Updated 4 years ago
- in Python☆18Updated 10 months ago
- A python library to create vibration signal for bearing defects.☆25Updated 3 years ago
- 智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis☆111Updated 2 years ago
- ☆99Updated last year
- Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, …☆46Updated 2 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…☆57Updated 7 years ago