Ocramnaig94 / digital-twin-for-aircraft-engine-maintenanceLinks
A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful life
☆13Updated 11 months ago
Alternatives and similar repositories for digital-twin-for-aircraft-engine-maintenance
Users that are interested in digital-twin-for-aircraft-engine-maintenance are comparing it to the libraries listed below
Sorting:
- A novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Ne…☆18Updated 8 months ago
- An AI-based system utilizing Graph Neural Networks (GNNs) for real-time anomaly detection and fault diagnosis in spacecraft engines. It c…☆16Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆24Updated 10 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☆38Updated 2 years ago
- Benmarking for GNN-based RUL prediction☆47Updated last year
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 years ago
- MSGPT: LLM-based Semantic Prompt Framework under Multi-sensor Data for Mechanical Fault Diagnosis☆19Updated 10 months ago
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆25Updated last year
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- This project is for paper " PFFN: A Parallel Feature Fusion Network for Remaining Useful Life Early Prediction of Lithium-ion Battery …☆10Updated last year
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated 2 years ago
- Code for: RULSurv: A probabilistic survival-based method for early censoring-aware prediction of remaining useful life in ball bearings (…☆20Updated 2 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆49Updated 10 months ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆29Updated 3 years ago
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆19Updated 3 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆42Updated last year
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆39Updated last month
- Dual Adversarial and Contrastive Network for Single-Source Domain Generalization in Fault Diagnosis☆17Updated 10 months ago
- 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.☆27Updated 10 months ago
- CEEMDAN-VMD-TCN-GRU&RF model☆15Updated last year
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆23Updated 2 years ago
- This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insuffic…☆16Updated last year
- ☆33Updated 2 years ago
- ☆13Updated last year
- Code for paper being submitted☆14Updated 6 months ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆12Updated 2 years ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆20Updated 2 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆16Updated 4 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆24Updated 3 years ago