yushi1006 / GGCN-for-RUL-prediction
Graph Convolutional Network for RUL prediction with multi-sensor signals
☆19Updated 2 years ago
Alternatives and similar repositories for GGCN-for-RUL-prediction:
Users that are interested in GGCN-for-RUL-prediction are comparing it to the libraries listed below
- TL-UESTC / Privacy-Preserving-Adaptive-Remaining-Useful-Life-Prediction-via-Source-Free-Domain-AdaptionThe implementation of Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption in PyTorch.☆20Updated 2 weeks 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☆34Updated last year
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆17Updated 11 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆27Updated last year
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- multi-source domain graph convolution networks (Fault and Abnormal Vibration Diagnosis)☆12Updated 2 years ago
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 3 months ago
- Benmarking for GNN-based RUL prediction☆22Updated 5 months ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆16Updated last year
- This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning use…☆15Updated 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☆27Updated 2 years ago
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆13Updated 3 months ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆18Updated last year
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆28Updated 2 weeks ago
- Proposed ATS2S model for C-MAPSS dataset.☆15Updated 3 years ago
- 一种用于复杂工况机械故障检测的GNN方法☆44Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆39Updated 3 weeks ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆26Updated 10 months ago
- SSGC: Synergistic Similarity Graph Construction for Steel Plate Fault Diagnosis with Graph Attention Networks☆21Updated 3 months ago
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆11Updated 3 months ago
- ☆27Updated 3 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆20Updated 3 years ago
- Code for paper: Scale-information fused correntropy representation for mechanical fault diagnosis under time-varying conditions☆13Updated 6 months ago
- Source codes for the paper "Domain generalization for rotating machinery fault diagnosis: A survey" published in Advanced Engineering Inf…☆18Updated 2 months ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated 2 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆21Updated 2 years ago
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆22Updated last year
- ☆21Updated 2 years ago