rul

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

rul lithium-ion-batteries remaining-useful-life-prediction

UpdatedJun 3, 2024
Python

iameminmammadov /dash-predictive-maintenance

Star46

Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.

dashboard xgboost rul wind-turbines predict-failures

UpdatedAug 6, 2022
Python

ritu-thombre99 /RUL-Prediction

Star29

Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural networks and hybrid model which is combination of VAR with LSTM

random-forest linear-regression regression lstm-model logistic-regression regression-models lstm-neural-networks vector-autoregression rul remaining-useful-life phm phm-models

UpdatedOct 16, 2021
Jupyter Notebook

mohyunho /ENAS-PdM

Star27

Evolutionary Neural Architecture Search for Remaining Useful Life Prediction

lstm evolutionary-algorithm neural-architecture-search predictive-maintenance rul remaining-useful-life cnn-lstm enas c-mapss rul-prediction cmapss

UpdatedApr 13, 2023
Python

ericlrf /rul

Star26

remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, condition-based maintenance, CBM, predictive maintenance, PdM, prognostics health management, PHM

survival-analysis pdm predictive-maintenance rul remaining-useful-life condition-monitoring cbm failure-prediction condition-based-maintenance prognostics phm rul-prediction remaining-life-estimation residual-useful-life degradation-models run-to-failure-models prognostics-health-management

UpdatedApr 6, 2021
Jupyter Notebook

tjdhg456 /RUL-RVE-Pytorch

Star21

Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estimation"

life prediction pytorch useful rul remaining

UpdatedMay 9, 2022
Python

johnsbuck /rul

Star21

A project focused on the improvement for remaining useful life estimation.

machine-learning neural-network estimations rul remaining-useful-life

UpdatedJul 7, 2017
Jupyter Notebook

hilinxinhui /battery_phm

Star13

Algorithms for Battery Mangerment System

thesis lib rul phm soh ai4science

UpdatedJan 16, 2024
Jupyter Notebook

holden-mcgorin /FastPHM

Star6

PHM预测框架，包括剩余使用寿命（RUL）预测、故障诊断，附带实验示例代码Remaining useful life (RUL) prediction and fault diagnosis framework, accompanied by experimental example code

diagnosis fault rul prognosis phm

UpdatedMar 5, 2025
Jupyter Notebook

SNBQT /Awesome-Deep-Fault-Diagnosis

Star4

Awesome Deep Fault Diagnosis

cwru rul remaining-useful-life fault-diagnosis awesome-deep-fault-diagnosis

UpdatedSep 8, 2019

LEMMAO /Predictive_Maintenance

Star4

machine-learning reliability-engineering predictive maintenance pca industry-4 rul industry-40

UpdatedJun 13, 2021
Jupyter Notebook

luqmanbuang /Aircraft-Engine-Lifetime-Prediction-with-Machine-Learning

Star4

ASE2306-Capstone Project [2019/20 T3] - Aircraft Engine Lifetime Prediction with Machine Learning

machine-learning regression prediction dataset nasa-data rul remaining-useful-life aircraft-engines cmpass gas-turbine-engine

UpdatedDec 3, 2020
Jupyter Notebook

hubtru /Minape

Star4

Multimodal Isotropic Neural Architecture with Patch Embedding to both time series and image data for classification purposes.

machine-learning time-series neural-network images regression classification feature-engineering anomaly-detection multimodal-learning rul remaining-useful-life multimodal multimodal-deep-learning isotropic-architecture device-state

UpdatedSep 9, 2024
Jupyter Notebook

DanielPuentee /LSTM-GANS-RUL-Prediction-for-Lithium-ion-Bateries

Star2

This paper summarizes a deep learning-based approach with an LSTM trained on the widely used Oxford battery degradation dataset and the help of generative adversarial networks (GANS).

lstm gans rul lithium-ion-batteries