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
☆10Updated 5 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…☆11Updated 3 months ago
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 8 months ago
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆19Updated 8 months ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆15Updated 5 months ago
- ☆12Updated 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 …☆9Updated last year
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆37Updated 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
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆23Updated 2 years ago
- An AI-based system utilizing Graph Neural Networks (GNNs) for real-time anomaly detection and fault diagnosis in spacecraft engines. It c…☆12Updated 9 months 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
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years ago
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆7Updated last year
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆31Updated 5 months ago
- Benmarking for GNN-based RUL prediction☆33Updated 10 months ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆20Updated 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 5 months ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆22Updated 3 years ago
- Code for: A probabilistic estimation of remaining useful life from censored time-to-event data (2024)☆14Updated 5 months ago
- ☆17Updated 9 months ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆14Updated last year
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…☆19Updated 4 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 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☆36Updated 2 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆15Updated 3 years ago
- case study for remaining useful life estimation☆33Updated last year
- CEEMDAN-VMD-TCN-GRU&RF model☆13Updated last year