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 10 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…☆17Updated 8 months ago
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆23Updated last year
- 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
- 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☆37Updated 2 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
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- ☆12Updated last year
- Benmarking for GNN-based RUL prediction☆44Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated 2 years ago
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆18Updated 2 months ago
- CEEMDAN-VMD-TCN-GRU&RF model☆15Updated last year
- MSGPT: LLM-based Semantic Prompt Framework under Multi-sensor Data for Mechanical Fault Diagnosis☆18Updated 9 months ago
- Code for: RULSurv: A probabilistic survival-based method for early censoring-aware prediction of remaining useful life in ball bearings (…☆19Updated last month
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆36Updated 3 weeks ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆61Updated 2 years 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.☆26Updated 9 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
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆24Updated 2 years ago
- Code for paper being submitted☆14Updated 5 months ago
- Dual Adversarial and Contrastive Network for Single-Source Domain Generalization in Fault Diagnosis☆16Updated 9 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆33Updated 2 years ago
- ☆33Updated 2 years ago
- 基于深度学习的机械故障诊断☆38Updated last year
- MSTDA☆11Updated last year
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 years ago
- Physical-knowledge-Guided and Explainable CNNs for Gear Fault Severity Level Diagnosis☆16Updated 8 months ago
- Proposed ATS2S model for C-MAPSS dataset.☆16Updated 3 years ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 3 years ago
- 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