wang-fujin / DR-NetLinks
☆22Updated 2 years ago
Alternatives and similar repositories for DR-Net
Users that are interested in DR-Net are comparing it to the libraries listed below
Sorting:
- 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☆27Updated last year
- ☆24Updated last year
- ☆43Updated 2 years ago
- Transformer-Based Diffusion Probabilistic Model to predict the Remaining Useful Life (RUL) of Lithium-ion batteries☆27Updated 3 months ago
- Comparison of various transfer learning models with the hybridization of an FCNN for battery RUL prediction☆44Updated 2 years ago
- ☆10Updated last year
- Official Implementation for [IEEE Transactions on Vehicular Technology] "TTSNet: Temporal transformer-based sequence network for state-of…☆22Updated last year
- ☆19Updated last year
- 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…☆20Updated 2 years ago
- The PyTorch implementation of Temperature Adaptive Transfer Network for Cross-Domain State of Charge Estimation of Li-ion Batteries at D…☆22Updated 2 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 3 years ago
- The PyTorch implementation of Source-Free Cross-Domain State of Charge Estimation of Lithium-ion Batteries at Different Ambient Temperatu…☆13Updated 2 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆22Updated 3 years ago
- 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…☆13Updated last year
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆26Updated 2 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- Proper attribution is mandatory when using or sharing the data or code; please name the data source as "Wenzhou Randomized Battery Data" …☆14Updated last month
- Transfer Learning on RUL estimation☆14Updated 3 years ago
- ☆21Updated 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…☆34Updated 2 years ago
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆16Updated 6 months ago
- Implementation of a regression capsule network for use in li-ion battery RUL☆10Updated 2 years ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆29Updated 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
- TFDSUNet: Time-Frequency Dual-Stream Uncertainty Network for Battery SOH/SOC Prediction☆46Updated last year
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆23Updated 2 years ago
- The objective of this project is to showcase how the performance of a multi-sensor system can be improved by reducing uncertainty, improv…☆11Updated 2 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆32Updated last year
- ☆8Updated 2 years ago