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.
☆13Updated 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
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆21Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆21Updated 2 years ago
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆24Updated 10 months ago
- Remaining useful life prediction by Transformer-based Model☆48Updated 2 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- Transfer Learning on RUL estimation☆13Updated 3 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆56Updated 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.☆22Updated last month
- unofficial reproduction of: a transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradat…☆20Updated last year
- Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks☆26Updated 10 months ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆36Updated this week
- Application of Transfer Learning for RUL Prediction☆26Updated 4 years ago
- Transformer-Based Diffusion Probabilistic Model to predict the Remaining Useful Life (RUL) of Lithium-ion batteries☆27Updated last month
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- case study for remaining useful life estimation☆31Updated last year
- ☆34Updated 3 years ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆28Updated 9 months ago
- ☆19Updated 2 years ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆29Updated last month
- ☆9Updated last year
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆34Updated last year
- ☆21Updated 2 years 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
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆66Updated last year
- ☆63Updated 4 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆54Updated 10 months ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆41Updated 2 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆31Updated last year