fonderxu / Bearing-fault-diagnosis-datasetsLinks
This repository currently provides common and public avaiable bearing vibration datasets, including downloading, preprocessing and loading.
☆17Updated 2 years ago
Alternatives and similar repositories for Bearing-fault-diagnosis-datasets
Users that are interested in Bearing-fault-diagnosis-datasets are comparing it to the libraries listed below
Sorting:
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆22Updated 2 years ago
- ☆16Updated 2 years ago
- ☆26Updated 3 years ago
- Paper code for An Iterative Resampling Deep Decoupling Domain Adaptation Method for Class-imbalance Bearing Fault Diagnosis Under Variant…☆17Updated last year
- ☆23Updated 2 years ago
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆16Updated 7 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆41Updated 2 years ago
- ☆23Updated 2 years ago
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆26Updated last year
- Hongchun-Qu / Research-and-Application-of-Bearing-Fault-Diagnosis-Based-on-Deep-Encoder-Classification-Model☆13Updated 3 years ago
- ☆26Updated 2 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆41Updated 2 years ago
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆21Updated 3 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insuffic…☆16Updated last year
- A transfer learning model CoDats applied to fault diagnosis problem☆15Updated 4 years ago
- PDA场景下的旋转机械故障诊断,☆10Updated last year
- A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis☆38Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆58Updated 3 years ago
- ☆25Updated 4 years ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆19Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year
- ☆13Updated 4 years ago
- Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Trans…☆23Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆40Updated 2 years ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆31Updated 5 months ago
- Code for our paper "Domain adaptive transfer learning for fault diagnosis." 2019 Prognostics and System Health Management Conference (PHM…☆22Updated 3 years ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆33Updated 7 months ago
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆14Updated 3 years ago
- The code for NISTA_Net☆10Updated 2 years ago