JieChungChen / cycle-consistency-transformer
Unofficial reproduction of: A transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradation trend(2022)
☆18Updated last year
Related projects ⓘ
Alternatives and complementary repositories for cycle-consistency-transformer
- Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks☆22Updated 5 months ago
- Rul prediction of lithium-ion batteries based on MMMe model,Details can be found in the paper “A MLP-Mixer and Mixture of Expert Model fo…☆16Updated last year
- Transformer-Based Diffusion Probabilistic Model to predict the Remaining Useful Life (RUL) of Lithium-ion batteries☆21Updated 4 months ago
- Comparison of various transfer learning models with the hybridization of an FCNN for battery RUL prediction☆43Updated last year
- ☆34Updated last year
- ☆19Updated last year
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆20Updated 2 years ago
- This study pioneers E-LSTM and CNN-LSTM deep learning models for precise Lithium-Ion Battery State of Health (SOH) prediction. Using MIT'…☆11Updated 10 months ago
- ☆13Updated last year
- The PyTorch implementation of Temperature Adaptive Transfer Network for Cross-Domain State of Charge Estimation of Li-ion Batteries at D…☆17Updated last year
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆17Updated 3 years ago
- Transfer Learning on RUL estimation☆10Updated 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 8 months ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆30Updated last year
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆21Updated last year
- foryichuanqi / ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimationRemaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data…☆10Updated 8 months ago
- ☆18Updated 10 months ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆19Updated last year
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆52Updated last year
- Produce an example using LSTM to predict remaining useful life of machinery☆13Updated 10 months ago
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆20Updated 6 months ago
- Battery remaining useful life prediction using CNN-LSTM on multi-channel charge profile data.☆10Updated 9 months ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated last year
- ☆15Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆41Updated 2 years ago
- The code is for the paper "Ma et al. A Two-Stage Integrated Method for Early Prediction of Remaining Useful Life of Lithium-ion Batteries…☆33Updated 2 years ago
- ☆17Updated last year
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆29Updated last year
- This study pioneers E-LSTM and CNN-LSTM deep learning models for precise Lithium-Ion Battery State of Health (SOH) prediction. Using MIT'…☆6Updated 3 weeks ago
- ☆40Updated 3 weeks ago