KY241's Stars
XinyuanLiao/AttnPINN-for-RUL-Estimation
A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks
nicolasoyharcabal/ConvRNN_for_RUL_estimation
Code used in Thesis "Convolutional Recurrent Neural Networks for Remaining Useful Life Prediction in Mechanical Systems".
ZhenghuaNTU/RUL-prediction-using-attention-based-deep-learning-approach
Junkun-Lu/RUL_Inception-Attention
Remaining useful life prediction by Transformer-based Model
mohyunho/NAS_transformer
Evolutionary Neural Architecture Search on Transformers for RUL Prediction
Dhruvadityamittal/RUL_Prediction_of_LIB_using_Spatio_temporal_Multimodal_Attention_Networks
Code for Remaining Useful Life Prediction of Lithium-ion Batteries using Spatio-temporal Multimodal Attention Networks
WeiZhengxi/PSECNet_for_RUL
We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 PHM Prognostic Challenge dataset.
LLerDagu/RUL-FFVE
Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction
Frank-Wang-oss/GNN_RUL_Benchmarking
Benmarking for GNN-based RUL prediction
yushi1006/GGCN-for-RUL-prediction
Graph Convolutional Network for RUL prediction with multi-sensor signals
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
ruibing-jin/Bi_LSTM_TS
This is an official code of "Bi-LSTM based Two-Stream Network for Machine Remaining Useful Life Prediction"
Center-of-Excellence-AI-for-Structures/ISTRUST_MODEL
Code for the paper "Breaking the black box barrier: predicting remaining useful life under uncertainty from raw images with interpretable neural networks". This is a novel interpretable transformer-based model for Remaining Useful Life (RUL) prediction from raw sequential images (frames) representing a composite structure under fatigue loads
foryichuanqi/ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimation
Remaining useful life prediction. Degradation path approximation (DPA) is a highly easy-to-understand and brand-new solution way for data-driven RUL prediction. Many research directions on DPA can be further studied.
StarMarco/DVAE_torch
A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation
xuweijun-npuer/Nonexchangeable-Split-Conformal-Prediction-of-RUL
Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Split Conformal Prediction"]
seanlau-flair/unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index
ZhiyaoZhang12/UDATrans
Remaining useful life prediction of aero-engines via domain-invariant and -specific features under the scenarios of working-condition shift
en-research/ChangePoint-LSTM
Official code implementation for 'A change point detection integrated remaining useful life estimation model under variable operating conditions (2024)'
hussamaleem/ADDA-with-Transformer-and-Gradient-Monitoring
Implementation of ADDA with Transformer Architecture and Gradient Monitoring for Remaining Useful Life Estimation through Time Series Data Analysis
SZU-AdvTech-2022/383-Bi-LSTM-Based-Two-Stream-Network-for-Machine-Remaining-Useful-Life-Prediction
ZFLiuSystem/MSTSDN-for-RUL-Prediction-of-Aero-engine
Multi-Scale Temporal-Spatial Feature-based Hybrid Deep Neural Network (MSTSDN) for Predicting RUL of Aero-engine.
MarcelHenkel/gpm_rul
generative and predictive models for remaining useful life estimation
mohyunho/NAS_convELM
Evolutionary optimization of convolutional ELM for remaining useful life prediction
mylonasc/gnn-tcnn
code for paper *Remaining Useful Life Estimation for Engineered Systems Operating under Uncertainty with Causal GraphNets*
AM-2304/rul
Remaining Useful Life Prediction of Transformers using Bayesian Estimation
rts1988/Remaining_Useful_Life_LSTM
Remaining Useful Life (RUL) prediction with LSTM and XGBoost (regressio nand classification models)
anshulofficial/PyTorch-TransPyTorch-Transformer-for-RUL-Prediction
govinda21/Determination_of_Mechanical_tool_RUL
Determination of Remaining Useful life of Mechanical Tools
huanglinxixi/DTW_RUL_Trajectory
RUL Prediction based on DTW