ruibing-jin / PE-Net
The code for paper "Position Encoding based Convolutional Neural Networks for Machine Remaining Useful Life Prediction"
☆13Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for PE-Net
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆17Updated 3 years ago
- This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"☆13Updated 11 months ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆20Updated 2 years ago
- ☆19Updated last year
- ☆15Updated 2 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆17Updated 2 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆30Updated last year
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆19Updated 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.☆14Updated 8 months ago
- Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions☆21Updated last year
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆20Updated 6 months ago
- The project focuses on prediction of RUL (Remaining Useful Life) of aircraft engine. The acitivity is carried out in PyTorch frameowrk us…☆10Updated 2 years ago
- Proposed ATS2S model for C-MAPSS dataset.☆14Updated 2 years ago
- Reamain Useful Life Prediction of Bearing☆9Updated 2 years ago
- Produce an example using LSTM to predict remaining useful life of machinery☆13Updated 10 months ago
- Remaining Useful Life prediction with a Deep Self-Supervised Learning Approach☆18Updated 10 months ago
- case study for remaining useful life estimation☆23Updated 7 months ago
- ☆15Updated 3 years ago
- This code is for paper "KDnet-RUL: A knowledge distillation framework to compress deep neural networks for machine remaining learning use…☆10Updated last year
- Unofficial reproduction of: A transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradat…☆18Updated last year
- Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks☆22Updated 5 months ago
- Remaining useful life prediction by Transformer-based Model☆41Updated 2 years ago
- The implementation of Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction in PyTorch.☆30Updated last year
- Transformer-Based Diffusion Probabilistic Model to predict the Remaining Useful Life (RUL) of Lithium-ion batteries☆21Updated 4 months ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆49Updated last year
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆22Updated last year
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆45Updated 5 months ago
- ☆16Updated 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…☆10Updated 8 months ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆16Updated 4 months ago