muxi324 / Experiments-using-PHM2010dataset
☆13Updated 4 years ago
Alternatives and similar repositories for Experiments-using-PHM2010dataset:
Users that are interested in Experiments-using-PHM2010dataset are comparing it to the libraries listed below
- The bearing fault data set collected by Jiangnan University.☆17Updated last year
- : 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…☆43Updated 6 years ago
- Remain useful life prediction of rolling bearing.☆53Updated 4 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆55Updated 2 years ago
- ☆95Updated 2 years ago
- Transfer learning☆49Updated 3 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆40Updated 2 years ago
- ☆65Updated 4 years ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆78Updated 11 months ago
- 基于深度学习的机械故障诊断☆31Updated last year
- ☆21Updated 4 years ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆33Updated last year
- Using transformer to realize Bearing Fault Diagnosis☆59Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- Use Paderborn data and HIilbert theory to diagnosis the fault of rolling bear with MATLAB.☆20Updated 2 years 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)☆52Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆34Updated 2 years ago
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆39Updated 3 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆85Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆55Updated 3 years ago
- Using LSTM to predict bearings' remaining useful life☆47Updated 3 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆49Updated 3 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 3 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆66Updated 9 months ago
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…☆18Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆78Updated last year
- WT-planetary-gearbox-datasets☆56Updated 9 months ago
- 一种用于复杂工况机械故障检测的GNN方法☆43Updated last year
- ☆29Updated last year
- 机械故障诊断公开数据集☆46Updated last year