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
- Transfer learning☆50Updated 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☆28Updated 2 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆95Updated 3 months ago
- 机械故障诊断公开数据集☆51Updated last year
- 基于机器学习的机械故障诊断☆17Updated last year
- 一种用于复杂工况机械故障检测的GNN方法☆45Updated last year
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆37Updated 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 last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆28Updated last year
- ☆45Updated 2 years ago
- ☆13Updated last year
- ☆24Updated 3 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- ☆95Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆37Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆51Updated 3 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆72Updated 11 months ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆154Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆83Updated last year
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆88Updated 2 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☆35Updated last year
- Using transformer to realize Bearing Fault Diagnosis☆62Updated last year
- 基于深度学习的机械故障诊断☆31Updated last year
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆10Updated last year
- 基于深度学习的机械设备故障诊断方法研究☆37Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆53Updated last month
- 这是一个首层卷积为宽卷积的深度神经网络Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN)的实现，该模型具有优越的抗噪能力，可用于轴承的智能故障诊断。☆45Updated 2 years ago
- 轴承故障诊断☆82Updated 2 years ago