XiongMeijing / CWRU-1Links
Multiclass classification of vibration signals of faulty bearings
☆90Updated 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.☆92Updated 5 months ago
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆81Updated last year
- ☆104Updated 5 years ago
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆83Updated 3 years ago
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.(30余个开源故障…☆16Updated 6 months ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆61Updated 10 months 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…☆85Updated last year
- ☆97Updated 9 months ago
- Siamese network for bearing fault diagnosis☆88Updated 5 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆53Updated 3 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
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆154Updated 2 years ago
- Transfer learning☆51Updated 3 years ago
- ☆98Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆91Updated last year
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…