XiongMeijing / CWRU-1Links
Multiclass classification of vibration signals of faulty bearings
☆91Updated 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 6 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…☆86Updated last year
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆155Updated 2 years ago
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆82Updated last year
- Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute☆138Updated 7 years ago
- WT-planetary-gearbox-datasets☆67Updated last year
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆258Updated 2 years ago
- ☆100Updated last year
- Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute☆146Updated 5 years ago
- ☆270Updated 7 years ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆341Updated 2 years ago
- in Python☆18Updated 7 months ago
- ☆108Updated 2 years ago
- Siamese network for bearing fault diagnosis☆88Updated 5 years ago
- ☆99Updated 10 months ago
- ☆105Updated 5 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆63Updated 11 months ago
- ☆40Updated 3 years ago
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆84Updated 3 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆92Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆125Updated 5 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆81Updated 2 months ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆167Updated last year
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆55Updated 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☆107Updated 2 years ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆133Updated 3 months ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆162Updated 4 years ago
- Code for our paper "Domain adaptive transfer learning for fault diagnosis." 2019 Prognostics and System Health Management Conference (PHM…☆22Updated 3 years ago
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆21Updated 3 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year