Sephiroth66616 / MKDPINNLinks
A novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Networks (PINNs). This repository contains the code for the paper "Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction of Rotating Machinery".
☆11Updated 4 months ago
Alternatives and similar repositories for MKDPINN
Users that are interested in MKDPINN are comparing it to the libraries listed below
Sorting:
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆11Updated 6 months ago
- ☆12Updated last year
- ☆33Updated 2 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆37Updated 2 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 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
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆19Updated 9 months ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆28Updated 2 years ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆16Updated 6 months ago
- ☆64Updated 4 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated last year
- CEEMDAN-VMD-TCN-GRU&RF model☆13Updated last year
- ☆17Updated 10 months ago
- Code for: A probabilistic estimation of remaining useful life from censored time-to-event data (2024)☆14Updated 2 weeks ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆58Updated 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…☆13Updated 9 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☆35Updated 2 years ago
- ☆23Updated 2 years ago
- 基于深度学习的机械故障诊断☆35Updated last year
- ☆13Updated 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
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆10Updated 2 years ago
- ☆22Updated 2 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆23Updated 3 years ago
- Physical-knowledge-Guided and Explainable CNNs for Gear Fault Severity Level Diagnosis☆13Updated 4 months ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆31Updated 6 months ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years ago
- Benmarking for GNN-based RUL prediction☆35Updated 11 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆35Updated last year