foryichuanqi / ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimation
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.
☆10Updated 6 months ago
Related projects: ⓘ
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆28Updated 11 months ago
- Transfer Learning on RUL estimation☆11Updated 2 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆16Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆36Updated 2 years ago
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆16Updated 4 months ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆47Updated last year
- Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks☆18Updated 3 months ago
- ☆27Updated 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.☆14Updated 6 months ago
- The unofficial reproduction of: A transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degr…☆15Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆48Updated last year
- Produce an example using LSTM to predict remaining useful life of machinery☆12Updated 8 months ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆27Updated 11 months ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆27Updated last year
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆19Updated last year
- ☆14Updated 2 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆36Updated 2 years ago
- case study for remaining useful life estimation☆19Updated 5 months ago
- Application of Transfer Learning for RUL Prediction☆24Updated 3 years ago
- Transformer-Based Diffusion Probabilistic Model to predict the Remaining Useful Life (RUL) of Lithium-ion batteries☆20Updated 2 months ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆15Updated 3 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆15Updated last year
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆42Updated 3 months ago
- Remaining useful life prediction for N-CMAPSS dataset☆16Updated 2 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆12Updated 9 months ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆18Updated last year
- Remain useful life prediction of rolling bearing.☆45Updated 3 years ago
- ☆29Updated last year
- ☆17Updated last year
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆39Updated 2 years ago