remaining-useful-life-prediction

There are 11 repositories under remaining-useful-life-prediction topic.

XiuzeZhou / RUL
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
transformer deep-learning machine-learning remaining-useful-life remaining-useful-life-prediction battery lithium lithium-ion neural-network neural-networks
Language:Jupyter Notebook 228
Abhijit-Bhumireddy99 / RUL_Prediction
remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit
machine-learning deep-learning deep-neural-networks remaining-useful-life-prediction vibration-signals bearings pronostia-dataset cnn lstm cwt
Language:Jupyter Notebook 109
zhmou / Turbofan-engine-RUL-prediction
RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf
lstm pytorch pytorch-implementation remaining-useful-life remaining-useful-life-prediction rul-prediction
Language:Python 66
mohyunho / N-CMAPSS_DL
N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
cmapss n-cmapss predictive-maintenance remaining-useful-life-prediction remaining-useful-life turbofan-engine rul-prediction c-mapss deep-learning new-cmapss machine-learning ncmapss prognostics
Language:Jupyter Notebook 62
XinyuanLiao / AttnPINN-for-RUL-Estimation
A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks
physics-informed-neural-networks remaining-useful-life-prediction self-attention
Language:Python 54
foryichuanqi / RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN
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.
attention-mechanism cmapss fcn interpretability keras phm remaining-useful-life-prediction tensorflow
Language:Python 41
ShubhankarKG / RUL_Prediction_SVM
Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model - Implementation of Research Paper : https://doi.org/10.1016/j.isatra.2019.08.058
svm remaining-useful-life-prediction machine-learning remaining-useful-life
Language:Jupyter Notebook 34
huzaifi18 / RUL_prediction
The project focused on "Battery Remaining Useful Life (RUL) Prediction using a Data-Driven Approach with a Hybrid Deep Model combining Convolutional Neural Networks (CNN) and Long-Short Term Memory (LSTM)." This repository aims to revolutionize battery health estimation by leveraging the power of deep learning to predict the remaining useful life
lithium-ion-batteries remaining-useful-life-prediction rul
Language:Python 31
mohyunho / NAS_transformer
Evolutionary Neural Architecture Search on Transformers for RUL Prediction
cmapss evolutionary-algorithms evolutionary-computation neural-architecture-search ngboost predictive-maintenance prognostics prognostics-health-management remaining-useful-life-prediction rul-prediction transformer-architecture transformers
Language:Python 31
tilman151 / rul-datasets
A collection of datasets for RUL estimation as Lightning Data Modules.
pytorch cmapss domain-adaptation femto pronostia-dataset remaining-useful-life remaining-useful-life-prediction semi-supervised-learning xjtu pytorch-lightning
Language:Python 27
lucianolorenti / ceruleo
CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
predictive-maintenance time-series remaining-useful-life remaining-useful-life-prediction
Language:Python 26
xxl4tomxu98 / NASA-Jet-Engine-Maintenance
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
fault-detection-classification predictive-maintenance remaining-useful-life-prediction predictive-logistics condition-based-maintenance prognostics-health-management realtime-predictive-analytics anomaly-detection fault-detection embeded-systems health-management failure-modes survival-analysis degradation-population-distribution component-failure-distribution censored-data churn-analytics time-to-event time-varying-covariates reliability-analysis
Language:Jupyter Notebook 24
delta1epsilon / turbofan-remaining-life-prediction
Remaining Useful Life (RUL) prediction for Turbofan Engines
prognostics rul-prediction nasa-data predictive-maintenance remaining-useful-life-prediction remaining-useful-life
Language:Jupyter Notebook 20
MOO_ELM
mohyunho / MOO_ELM
Multi-Objective Optimization of ELM for RUL Prediction
c-mapss deep-learning evolutionary-algorithms extreme-learning-machine machine-learning multi-objective-optimization n-cmapss predictive-maintenance prognostics remaining-useful-life-prediction rul-prediction turbofan-engine
Language:Python 14
Neel-Dandiwala / Lithium-Batteries-RUL-ANN
An artificial neural network (ANN) based method is developed for achieving more accurate remaining useful life prediction of Lithium Ion batteries subject to condition monitoring. The ANN model takes the capacity attribute as a target against multiple measurement values as the inputs, and the life expectancy as the output.
lithium-ion-batteries machine-learning remaining-useful-life-prediction
Language:Jupyter Notebook 13
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.
data-driven degradation phm remaining-useful-life-prediction
Language:Python 7
KiKi0016 / State-of-Health-Estimation-of-Electric-Vehicle-Batteries-Using-DeTransformer
Deep learning of lithium-ion battery SOH using the DeTransformer model learns the aging characteristics of the battery and then makes predictions about the battery SOH in order to monitor the health of batteries in electric vehicles.
deep-learning prediction soh-estimation transformer remaining-useful-life-prediction lithium-ion-batteries
Language:Python 7
Eng-Ismail7 / Forecasting-and-classification-of-mechanical-faults
predictive-maintenance-fault-classification(CWRU data)-and-remaining-useful-life(NASA’s Turbofan Engine )
fault-classification remaining-useful-life-prediction
Language:Jupyter Notebook 5
adam-aalah / Feature-clustering-and-XAI-for-RUL-estimation
Feature clustering and XIA for RUL estimation
c-mapss explainable-ai feature-clustering lstm phm remaining-useful-life remaining-useful-life-prediction xai deep-learning machine-learning rul-prediction turbofan-engine python r
Language:Jupyter Notebook 2
Ogunfool / EncoderTransformerArchitecture_CMAPPS
An encoder-transformer architecture-based framework for multi-variate time series prediction with a prognostics use case.
remaining-useful-life-prediction timeseries-analysis timeseries-data timeseries-prediction transformer-pytorch transformers-bert cmapps
Language:Jupyter Notebook 2
Eason0227 / Turbofan-Engine-Remaining-Useful-Life-Prediction
Remaining Useful Life Prediction
deep-learning long-short-term-memory remaining-useful-life-prediction time-series-analysis
Language:Jupyter Notebook 1
kaushikmupadhya / Anomaly-Detection-in-Time-Series-Data
Anomaly Detection in Time Series Data using Autoencoders approach.
anomaly-detection autoencoder deep-learning diagnostics machine-learning nasa-data neural-networks prognostic-models python remaining-useful-life-prediction research-and-development time-series-analysis
0

remaining-useful-life-prediction

XiuzeZhou / RUL

Abhijit-Bhumireddy99 / RUL_Prediction

zhmou / Turbofan-engine-RUL-prediction

mohyunho / N-CMAPSS_DL

XinyuanLiao / AttnPINN-for-RUL-Estimation

foryichuanqi / RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN

ShubhankarKG / RUL_Prediction_SVM

huzaifi18 / RUL_prediction

mohyunho / NAS_transformer

tilman151 / rul-datasets

lucianolorenti / ceruleo

xxl4tomxu98 / NASA-Jet-Engine-Maintenance

delta1epsilon / turbofan-remaining-life-prediction

mohyunho / MOO_ELM

Neel-Dandiwala / Lithium-Batteries-RUL-ANN

foryichuanqi / ADVEI-Paper-2024.3-Degradation-path-approximation-for-remaining-useful-life-estimation

KiKi0016 / State-of-Health-Estimation-of-Electric-Vehicle-Batteries-Using-DeTransformer

Eng-Ismail7 / Forecasting-and-classification-of-mechanical-faults

adam-aalah / Feature-clustering-and-XAI-for-RUL-estimation

Ogunfool / EncoderTransformerArchitecture_CMAPPS

Eason0227 / Turbofan-Engine-Remaining-Useful-Life-Prediction

kaushikmupadhya / Anomaly-Detection-in-Time-Series-Data