LanXiu0523 / WHVG_GCN
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。
☆41Updated 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
- 基于图神经网络的机械故障诊断☆94Updated 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
- 一种用于复杂工况机械故障检测的GNN方法☆46Updated last year
- 一种轻量化故障诊断框架——LiConvFormer☆100Updated 4 months 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☆36Updated 2 years ago
- Transfer learning☆50Updated 3 years ago
- 基于可变形卷积和注意力机制的滚动轴承故障诊断☆44Updated 4 years ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆39Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆56Updated 2 years ago
- 机械故障诊断公开数据集☆53Updated last year
- 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☆28Updated 3 years ago
- ☆13Updated last year
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆52Updated 3 years ago
- 基于机器学习的机械故障诊断☆18Updated 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…☆49Updated 7 years ago
- 基于深度学习的机械故障诊断☆33Updated last year
- 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 2 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆155Updated 4 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆38Updated 2 years ago
- Using transformer to realize Bearing Fault Diagnosis☆62Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆28Updated last year
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆88Updated 2 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆92Updated 5 years ago
- ☆95Updated 2 years ago
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆10Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆54Updated 2 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- ☆45Updated 3 years ago