RamtinMoslemi / RUL-PapersLinks
An awesome list of papers on remaining useful life (RUL) prediction from arXiv
☆12Updated last month
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- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆24Updated last year
- Code for the paper "Breaking the black box barrier: predicting remaining useful life under uncertainty from raw images with interpretable…☆13Updated 4 months ago
- Proposed ATS2S model for C-MAPSS dataset.☆15Updated 3 years ago
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆17Updated 7 months ago
- Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)☆17Updated last year
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆10Updated 5 months ago
- A novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Ne…☆11Updated 2 months ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆31Updated 4 months ago
- This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning use…☆15Updated 2 years ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆12Updated last year
- Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components☆15Updated 3 years ago
- Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.☆39Updated last year
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆20Updated last year
- ☆8Updated 2 years ago
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆19Updated 2 years ago
- Benmarking for GNN-based RUL prediction☆32Updated 9 months ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated 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.☆23Updated 4 months ago
- A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation☆11Updated last year
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 7 months ago
- Official code for IEEE Transactions on Industrial Informatics paper Class Incremental Fault Diagnosis under Limited Fault Data via Superv…☆15Updated last month
- Code for: A probabilistic estimation of remaining useful life from censored time-to-event data (2024)☆13Updated 4 months ago
- ☆12Updated last year
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆35Updated last year
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆14Updated 4 months ago
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆7Updated last year
- ☆13Updated 5 months ago
- Companion repository for the paper "Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision"…☆26Updated 3 years ago
- Code for paper being submitted☆14Updated last week
- ☆14Updated last year