abiodun-ayodeji / Attention_based_MultiHead_model_for_aircraft_engine_RUL_prediction_Links
Attention-based multihead model for optimized aircraft engine remaining useful life prediction
☆56Updated last year
Alternatives and similar repositories for Attention_based_MultiHead_model_for_aircraft_engine_RUL_prediction_
Users that are interested in Attention_based_MultiHead_model_for_aircraft_engine_RUL_prediction_ are comparing it to the libraries listed below
Sorting:
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆59Updated 2 years ago
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆73Updated 2 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆42Updated 3 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆178Updated last year
- Remaining useful life prediction by Transformer-based Model☆52Updated 3 years ago
- Remain useful life prediction of rolling bearing.☆58Updated 4 years ago
- Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research …☆51Updated 3 years ago
- ☆57Updated 2 years ago
- case study for remaining useful life estimation☆34Updated last year
- Using LSTM to predict bearings' remaining useful life☆49Updated 4 years ago
- RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf☆105Updated 2 years ago
- Application of Transfer Learning for RUL Prediction☆28Updated 4 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
- Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction☆26Updated last year
- RUL prediction for Turbofan Engine (CMAPSS dataset) using CNN☆126Updated 4 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆163Updated 4 years ago
- Implementation of GCU-Transformer for RUL Prediction on CMAPSS☆40Updated 6 months ago
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆97Updated 4 years ago
- Estimating Remaining Useful Life of a Turbofan Jet Engine using NCMAPSS dataset☆38Updated 2 years ago
- ☆64Updated 4 years ago
- Remaining useful life prediction for N-CMAPSS dataset☆19Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆23Updated 3 years ago
- Paper-Reproduce: (Sensors-MDPI) Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification☆27Updated 2 years ago
- GLIN: Remaining useful life prediction based on fusion of global and local information (Transformer)☆31Updated 2 years ago
- The code of DAST☆61Updated 2 years ago
- ☆12Updated last year
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Updated 2 years ago
- Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shi…☆12Updated 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…☆14Updated last year
- Transfer Learning on RUL estimation☆14Updated 3 years ago