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.
☆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
Sorting:
- Transfer Learning on RUL estimation☆14Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆22Updated 3 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
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆32Updated last year
- Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks☆27Updated last year
- Remaining useful life prediction by Transformer-based Model☆52Updated 2 years ago
- Transformer-Based Diffusion Probabilistic Model to predict the Remaining Useful Life (RUL) of Lithium-ion batteries☆27Updated 3 months ago
- ☆10Updated last year
- 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 3 months ago
- Application of Transfer Learning for RUL Prediction☆27Updated 4 years ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years ago
- unofficial reproduction of: a transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradat…☆20Updated last year
- case study for remaining useful life estimation☆32Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆57Updated 2 years ago
- ☆22Updated 2 years ago
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆25Updated last year
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆31Updated 3 months ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆46Updated 3 years ago
- ☆16Updated 4 years ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆10Updated 2 years ago
- ☆34Updated 3 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆23Updated 2 years ago
- ☆19Updated 3 years ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆38Updated 2 months ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆35Updated last year
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆28Updated 11 months ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆14Updated last year