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GitHub topics: remaining-useful-life-prediction

RamtinMoslemi/RUL-Papers

An awesome list of papers on remaining useful life (RUL) prediction from arXiv

Language: Jupyter Notebook - Size: 36.5 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 14 - Forks: 1

VedantModhave/Nasa-Turbofan-Anomaly-Dashboard

An interactive dashboard for analyzing the NASA Turbofan Engine dataset to detect anomalies and predict remaining useful life (RUL).

Language: Python - Size: 60.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

tilman151/rul-datasets

A collection of datasets for RUL estimation as Lightning Data Modules.

Language: Python - Size: 1.13 MB - Last synced at: about 23 hours ago - Pushed at: over 1 year ago - Stars: 47 - Forks: 2

lucianolorenti/ceruleo

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds

Language: Python - Size: 84.1 MB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 29 - Forks: 6

mriusero/predictive-maintenance-on-industrial-robots

This project develops predictive maintenance models for industrial robots in nuclear fuel replacement, leveraging data analytics, machine learning, and decision-making frameworks to optimize robot fleet management and extend operational uptime. Key phases include data exploration, feature engineering, RUL prediction, and maintenance decision-making

Language: Python - Size: 2.03 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 507 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 5

XiuzeZhou/RUL

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

Language: Jupyter Notebook - Size: 205 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 242 - Forks: 55

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

Language: Jupyter Notebook - Size: 27.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 98 - Forks: 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.

Language: Python - Size: 1.24 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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

Feature clustering and XIA for RUL estimation

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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.

Language: Python - Size: 77.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

XinyuanLiao/AttnPINN-for-RUL-Estimation

A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks

Language: Python - Size: 5.11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 39 - Forks: 7

xxl4tomxu98/NASA-Jet-Engine-Maintenance

ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification

Language: Jupyter Notebook - Size: 220 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 20 - Forks: 3

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

Remaining Useful Life Prediction

Language: Jupyter Notebook - Size: 23.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

delta1epsilon/turbofan-remaining-life-prediction

Remaining Useful Life (RUL) prediction for Turbofan Engines

Language: Jupyter Notebook - Size: 23.4 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 5

mohyunho/NAS_transformer

Evolutionary Neural Architecture Search on Transformers for RUL Prediction

Language: Python - Size: 15.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 3

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

predictive-maintenance-fault-classification(CWRU data)-and-remaining-useful-life(NASA’s Turbofan Engine )

Language: Jupyter Notebook - Size: 712 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

mohyunho/N-CMAPSS_DL

N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)

Language: Jupyter Notebook - Size: 3.02 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 30 - Forks: 3

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.

Language: Python - Size: 50.5 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 1

zhmou/Turbofan-engine-RUL-prediction

RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf

Language: Python - Size: 52.4 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 2

mohyunho/MOO_ELM

Multi-Objective Optimization of ELM for RUL Prediction

Language: Python - Size: 224 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 1

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

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

Anomaly Detection in Time Series Data using Autoencoders approach.

Size: 3.83 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Related Keywords
remaining-useful-life-prediction 23 remaining-useful-life 9 predictive-maintenance 8 deep-learning 8 machine-learning 8 rul-prediction 7 cmapss 4 prognostics 4 turbofan-engine 4 phm 3 c-mapss 3 anomaly-detection 3 lstm 3 prognostics-health-management 3 time-series-analysis 2 python 2 n-cmapss 2 lithium-ion-batteries 2 nasa-data 2 pytorch 2 pronostia-dataset 2 neural-networks 2 transformer 2 evolutionary-algorithms 2 research-and-development 1 long-short-term-memory 1 time-varying-covariates 1 time-to-event 1 survival-analysis 1 reliability-analysis 1 realtime-predictive-analytics 1 predictive-logistics 1 health-management 1 fault-detection-classification 1 fault-detection 1 failure-modes 1 embeded-systems 1 prognostic-models 1 diagnostics 1 autoencoder 1 svm 1 multi-objective-optimization 1 extreme-learning-machine 1 pytorch-implementation 1 tensorflow 1 keras 1 interpretability 1 fcn 1 attention-mechanism 1 new-cmapss 1 ncmapss 1 fault-classification 1 transformers 1 transformer-architecture 1 ngboost 1 neural-architecture-search 1 evolutionary-computation 1 bearings 1 neural-network 1 lithium-ion 1 lithium 1 battery 1 survival-prediction 1 mechanical-engineering 1 lstm-neural-networks 1 industrial-engineering 1 time-series 1 xjtu 1 semi-supervised-learning 1 pytorch-lightning 1 femto 1 domain-adaptation 1 nasa 1 state-of-health 1 remaining-life-estimation 1 awesome-list 1 degradation-population-distribution 1 condition-based-maintenance 1 component-failure-distribution 1 churn-analytics 1 censored-data 1 self-attention 1 physics-informed-neural-networks 1 soh-estimation 1 prediction 1 xai 1 r 1 feature-clustering 1 explainable-ai 1 degradation 1 data-driven 1 vibration-signals 1 deep-neural-networks 1 cwt 1 cnn 1