XiongMeijing / CWRU-1
Multiclass classification of vibration signals of faulty bearings
☆85Updated 5 years ago
Alternatives and similar repositories for CWRU-1:
Users that are interested in CWRU-1 are comparing it to the libraries listed below
- This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.☆88Updated 2 months ago
- ☆99Updated 5 years ago
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆72Updated 10 months ago
- ☆39Updated 3 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆152Updated 11 months ago
- Dataset that was used during the IEEE PHM 2012 Data Challenge, built by the FEMTO-ST Institute☆137Updated 5 years ago
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆80Updated 3 years ago
- Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).☆147Updated 2 years ago
- wdcnn model for bearing fault diagnosis☆32Updated 5 years ago
- Siamese network for bearing fault diagnosis☆85Updated 5 years ago
- A few shot learning repository for bearing fault diagnosis.☆80Updated last year
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆153Updated 2 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆92Updated 5 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 …☆114Updated last month
- ☆54Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆54Updated 8 months ago
- ☆98Updated 2 years ago
- ☆50Updated 2 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆150Updated 3 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆85Updated last year
- A python library to create vibration signal for bearing defects.☆23Updated 3 years ago
- New GAN models in dataset of CWRU☆39Updated 3 years ago
- ☆88Updated 7 months ago
- Transfer learning☆49Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆24Updated 5 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…☆5Updated 3 months ago
- ☆65Updated 4 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆119Updated 4 years ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆318Updated 2 years ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆246Updated 2 years ago