Rhythmica02 / Cognitive_Health_Monitoring_System_for_SpacecraftsLinks
An AI-based system utilizing Graph Neural Networks (GNNs) for real-time anomaly detection and fault diagnosis in spacecraft engines. It classifies anomalies and provides actionable recommendations, improving safety and predictive maintenance.
☆11Updated 7 months ago
Alternatives and similar repositories for Cognitive_Health_Monitoring_System_for_Spacecrafts
Users that are interested in Cognitive_Health_Monitoring_System_for_Spacecrafts are comparing it to the libraries listed below
Sorting:
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆14Updated 3 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
- ☆17Updated 8 months ago
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆14Updated last year
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- 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.☆23Updated 3 months ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆32Updated last year
- foryichuanqi / ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimationRemaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data…☆13Updated last year
- Transfer Learning on RUL estimation☆14Updated 3 years ago
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆29Updated last year
- ☆32Updated last year
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆35Updated last year
- Remaining useful life prediction by Transformer-based Model☆52Updated 2 years ago
- ☆34Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆22Updated 3 years ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆28Updated 11 months ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆31Updated 3 months ago
- case study for remaining useful life estimation☆32Updated last year
- ☆65Updated 4 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆57Updated 2 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆32Updated 2 years ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆10Updated 2 years ago
- 基于深度学习的机械故障诊断☆35Updated last year
- Application of Transfer Learning for RUL Prediction☆27Updated 4 years ago
- This repository contains the implementation of the model for bearing fault diagnosis，also includes five comparison models for performance…☆14Updated 3 months ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- PHM预测框架，包括剩余使用寿命（RUL）预测、故障诊断，附带实验示例代码Remaining useful life (RUL) prediction and fault diagnosis framework, accompanied by experimental ex…☆27Updated 2 months ago
- Benmarking for GNN-based RUL prediction☆31Updated 8 months ago
- ☆10Updated last year