123EastGod / HNU-IDG-FD-Code
The intelligent fault diagnosis methods of HNU IDG
☆68Updated 2 years ago
Alternatives and similar repositories for HNU-IDG-FD-Code:
Users that are interested in HNU-IDG-FD-Code are comparing it to the libraries listed below
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆72Updated 11 months ago
- ☆101Updated 2 years ago
- ☆54Updated last year
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆97Updated 4 months ago
- Transfer learning☆50Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆83Updated last year
- ☆45Updated 2 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆55Updated 8 months ago
- The intelligent fault diagnosis of HNU IDG☆93Updated 2 years ago
- WT-planetary-gearbox-datasets☆59Updated 11 months ago
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)☆53Updated last year
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆41Updated 3 years ago
- ☆94Updated 2 years ago
- 一种用于复杂工况机械故障检测的GNN方法☆45Updated last year
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆50Updated 3 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆92Updated 3 months ago
- 机械故障诊断公开数据集☆51Updated last year
- ☆42Updated 2 weeks ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆154Updated 3 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 …☆118Updated last month
- ☆88Updated 7 months ago
- ☆33Updated 2 years ago
- ☆81Updated 2 years ago
- code for DFAWnet☆33Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆37Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research（实验室自采轴承开源数据集，包含稳定转速和时变转速）☆57Updated 3 months ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆37Updated 2 years ago
- 实现的是WDCNN的pytorch版本代码，对应论文的第三章 data包含了四个数据文件夹，这里只使用了0HP文件夹中的数据，里面包含了正常、内圈、外圈、滚动体共10种状态 preprocess.py的功能是对数据进行采样、编码，虽然划分出来了验证集但是并没有使用 trai…☆23Updated 2 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year