RamtinMoslemi / RUL-PapersLinks
An awesome list of papers on remaining useful life (RUL) prediction from arXiv
☆14Updated 3 months ago
Alternatives and similar repositories for RUL-Papers
Users that are interested in RUL-Papers are comparing it to the libraries listed below
Sorting:
- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆26Updated last year
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆20Updated 10 months ago
- Proposed ATS2S model for C-MAPSS dataset.☆16Updated 3 years ago
- Benmarking for GNN-based RUL prediction☆36Updated last year
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆12Updated last year
- A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation☆11Updated 2 years ago
- Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)☆17Updated 2 years ago
- A novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Ne…☆12Updated 5 months ago
- Code for the paper "Breaking the black box barrier: predicting remaining useful life under uncertainty from raw images with interpretable…☆13Updated 7 months ago
- Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.☆42Updated last year
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆15Updated 3 years ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆33Updated 7 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.☆25Updated 7 months ago
- This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning use…☆16Updated 2 years ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆21Updated 3 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
- ☆12Updated last year
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆22Updated last year
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆19Updated 7 months ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆23Updated 3 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated 2 years ago
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆12Updated 8 months ago
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆20Updated 2 years ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆20Updated 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
- ☆64Updated 4 years ago
- TFSCL☆13Updated last year
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated last year
- Code for paper being submitted☆14Updated 3 months ago
- Companion repository for the paper "Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision"…☆26Updated 3 years ago