LanXiu0523 / WHVG_GCNLinks
采用一种包含加权水平可见图(WHVG)的图卷积网络(GCN),对采样的轴承震动时间序列数据分析,进行滚动轴承故障诊断。其中,对HVG中两节点的边,以节点距离的倒数作为权重进行加权,以削弱噪声节点对其他距离较远节点的影响。
☆46Updated 2 years ago
Alternatives and similar repositories for WHVG_GCN
Users that are interested in WHVG_GCN are comparing it to the libraries listed below
Sorting:
- 基于图神经网络的机械故障诊断☆106Updated last year
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆193Updated 4 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆60Updated 4 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Updated 4 years ago
- ☆47Updated 3 years ago
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆29Updated 3 years ago
- ☆109Updated 2 years ago
- Transfer learning☆62Updated 4 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆148Updated last year
- Semi-Supervised Density Peak Clustering Algorithm, Incremental Learning, Fault Detection(基于半监督密度聚类+增量学习的故障诊断)☆87Updated 3 years ago
- ☆113Updated 3 years ago
- 机械故障诊断公开数据集☆72Updated 2 years ago
- Using transformer to realize Bearing Fault Diagnosis☆69Updated 2 years ago
- Leveraging multiple deep learning models for fault diagnosis☆49Updated last month
- Awsome-Multi-modal-based PHM (基于多模态的故障诊断和预测)☆95Updated 7 months ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆38Updated 2 years ago
- The intelligent fault diagnosis of HNU IDG☆122Updated 3 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆97Updated 3 years ago
- : 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…☆63Updated 7 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☆39Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆45Updated 3 years ago
- 一种用于复杂工况机械故障检测的GNN方法☆56Updated 2 years ago
- ☆88Updated 3 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)☆68Updated 7 months ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆62Updated 2 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆70Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆40Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆104Updated 2 years ago
- ☆14Updated 3 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆100Updated 6 years ago