xuqing88 / KDnet-RULLinks
This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning useful life prediction
☆18Updated 2 years ago
Alternatives and similar repositories for KDnet-RUL
Users that are interested in KDnet-RUL are comparing it to the libraries listed below
Sorting:
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆13Updated 2 years ago
- ☆24Updated 2 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
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆25Updated last year
- Proposed ATS2S model for C-MAPSS dataset.☆16Updated 4 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆23Updated 3 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.☆27Updated 10 months ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆13Updated 2 years ago
- ☆17Updated 4 years ago
- unofficial reproduction of: a transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradat…☆20Updated 2 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated 2 years ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆24Updated 3 years ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆38Updated last month
- Code for the paper "Breaking the black box barrier: predicting remaining useful life under uncertainty from raw images with interpretable…☆13Updated 11 months ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆23Updated 2 years ago
- ☆16Updated 3 years ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 3 years ago
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆20Updated 2 years ago
- Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks☆30Updated last year
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆37Updated 2 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆33Updated 2 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆30Updated 2 years ago
- Benmarking for GNN-based RUL prediction☆47Updated last year
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆29Updated last year
- Application of Transfer Learning for RUL Prediction☆29Updated 4 years ago
- The code for paper "Position Encoding based Convolutional Neural Networks for Machine Remaining Useful Life Prediction"☆15Updated 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 …☆30Updated last year
- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆29Updated last year
- Companion repository for the paper "Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision"…☆27Updated 4 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…☆18Updated last year