foryichuanqi / ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimationLinks
Remaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data-driven RUL prediction. Many research directions on DPA can be further studied.
☆14Updated last year
Alternatives and similar repositories for ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimation
Users that are interested in ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimation are comparing it to the libraries listed below
Sorting:
- Transfer Learning on RUL estimation☆14Updated 3 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆59Updated 2 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated last year
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆51Updated 3 years ago
- Application of Transfer Learning for RUL Prediction☆28Updated 4 years ago
- Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks☆27Updated last year
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆52Updated 3 years ago
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆26Updated last year
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆23Updated 3 years ago
- Transformer-Based Diffusion Probabilistic Model to predict the Remaining Useful Life (RUL) of Lithium-ion batteries☆29Updated 7 months ago
- Remain useful life prediction of rolling bearing.☆58Updated 4 years ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆40Updated 6 months ago
- ☆64Updated 4 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆73Updated 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
- ☆34Updated 3 years ago
- case study for remaining useful life estimation☆34Updated last year
- unofficial reproduction of: a transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradat…☆20Updated 2 years ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years ago
- A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks☆116Updated last year
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆12Updated 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.☆25Updated 7 months ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆178Updated last year
- Remaining useful life prediction for N-CMAPSS dataset☆19Updated 3 years ago
- ☆22Updated 2 years ago
- ☆57Updated 2 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆42Updated 3 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆105Updated 2 years ago