xuqing88 / KDnet-RUL
This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning useful life prediction
☆15Updated 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
- Produce an example using LSTM to predict remaining useful life of machinery☆15Updated last year
- ☆20Updated 2 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆21Updated 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 3 weeks ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated 2 years ago
- This repository is the implementation for the paper Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Pred…☆13Updated 4 months ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆20Updated 3 years ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆29Updated last month
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆24Updated 2 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆15Updated 3 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆14Updated last year
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- ☆15Updated 2 years ago
- ☆15Updated 3 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆24Updated 10 months ago
- The code for paper "Position Encoding based Convolutional Neural Networks for Machine Remaining Useful Life Prediction"☆14Updated 2 years ago
- Unofficial reproduction of: A transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradat…☆19Updated last year
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆19Updated 2 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆34Updated last year
- Application of Transfer Learning for RUL Prediction☆26Updated 3 years ago
- Benmarking for GNN-based RUL prediction☆24Updated 5 months ago
- Remaining useful life prediction by Transformer-based Model☆46Updated 2 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
- Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks☆26Updated 10 months ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆19Updated last year
- The project focuses on prediction of RUL (Remaining Useful Life) of aircraft engine. The acitivity is carried out in PyTorch frameowrk us…☆11Updated 3 years ago
- case study for remaining useful life estimation☆29Updated 11 months ago
- Code for the paper "Breaking the black box barrier: predicting remaining useful life under uncertainty from raw images with interpretable…☆13Updated last month
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆35Updated last year