foryichuanqi / RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCNLinks
The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and Interpretability of deep learning are explored.
☆57Updated 2 years ago
Alternatives and similar repositories for RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN
Users that are interested in RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN are comparing it to the libraries listed below
Sorting:
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- case study for remaining useful life estimation☆33Updated last year
- Remaining useful life prediction by Transformer-based Model☆51Updated 2 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆69Updated 2 years ago
- ☆64Updated 4 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆46Updated 3 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆18Updated 3 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated last year
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆41Updated 3 years ago
- ☆55Updated 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.☆23Updated 5 months ago
- Produce an example using LSTM to predict remaining useful life of machinery☆16Updated last year
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆22Updated 3 years ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆37Updated 3 months ago
- A collection of unsupervised domain adaption algorithms for RUL estimation.☆35Updated last year
- ☆15Updated 2 years ago
- The code of DAST☆60Updated 2 years ago
- Using LSTM to predict bearings' remaining useful life☆48Updated 4 years ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years ago
- ☆12Updated last year
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆166Updated last year
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆26Updated last year
- Application of Transfer Learning for RUL Prediction☆28Updated 4 years ago
- ☆16Updated 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…☆13Updated last year
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆29Updated last year
- ☆33Updated 3 years ago
- ☆23Updated 4 years ago