rainstorm12 / Root-KGDLinks
基于工业数据和知识图谱联合驱动的工业故障诊断框架,论文代码Root-KGI: a Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial Data
☆31Updated last year
Alternatives and similar repositories for Root-KGD
Users that are interested in Root-KGD are comparing it to the libraries listed below
Sorting:
- Fault Diagnosis of Wheeled Robot Based on Prior Knowledge and Spatial-temporal difference graph convolutional network☆43Updated 2 years ago
- This is a reposotory that includes paper about LLM-based fault diagnosis and prognosis. (基于大模型的故障诊断和预测,持续更新)☆148Updated last month
- Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph S…☆24Updated 3 years ago
- Pytorch implementation of various traffic prediction modules(FC-LSTM, GRU, GCN, Diffusion Conv, Temporal Attention, etc.)☆11Updated 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☆29Updated 3 years ago
- 用于预测性维护与健康管理的大型语言模型(故障诊断大模型;剩余使用寿命预测大模型)☆97Updated 2 weeks ago
- Early access articles, Journals, and Conferences☆27Updated 4 years ago
- 基于图神经网络的机械故障诊断☆105Updated last year
- ☆29Updated 2 years ago
- Industrial process, Silicon content, molten iron quality (MIQ) prediction, soft sensor, deep learning, sintering process, blast furnace i…☆30Updated last year
- 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。☆45Updated 2 years ago
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆20Updated 2 years ago
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆18Updated 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
- Awsome-Multi-modal-based PHM (基于多模态的故障诊断和预测)☆93Updated 6 months ago
- ☆39Updated last year
- Benmarking for GNN-based RUL prediction☆45Updated last year
- ☆124Updated last year
- A novel spatio-temporal adaptive graph convolutional network model (STAGCN) based on deep learning☆22Updated 3 years ago
- ☆28Updated 4 years ago
- 一种新的用于噪声干扰下刀具的无监督异常检测方法☆23Updated 2 years ago
- This repository has open-sourced a dataset of motor failure, including vibration signals and audio signals.(实验室自采多模态电机故障数据,振动信号+声音信号)☆34Updated 2 months ago
- Multivariate Time Series Anomaly Detection with GNNs and Latent Graph Inference☆18Updated 3 years ago
- ☆106Updated last year
- Official implementations of "Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery…☆24Updated 5 months ago
- AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation☆86Updated 8 months ago
- A Dual-View Network For Imbalanced Fault Diagnosis of Rotating Machinery☆11Updated 2 years ago
- a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …☆32Updated 3 years ago
- Use GRU,LSTM,CNN to predict the RUL in C-MAPSS dataset☆31Updated 2 years ago
- SSGC: Synergistic Similarity Graph Construction for Steel Plate Fault Diagnosis with Graph Attention Networks☆21Updated last year