rul

There are 20 repositories under rul topic.

  • hustcxl/Deep-learning-in-PHM

    Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

    399130102

  • MichaelBosello/battery-rul-estimation

    Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

    Language:Jupyter Notebook1613440

  • XiuzeZhou/CALCE

    锂电池数据集 CALCE

    Language:Jupyter Notebook1311434

  • XiuzeZhou/NASA

    Analysis for NASA data sets

    Language:Jupyter Notebook1171438

  • 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

    Language:Python43218

  • iameminmammadov/dash-predictive-maintenance

    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.

    Language:Python381023

  • mohyunho/ENAS-PdM

    Evolutionary Neural Architecture Search for Remaining Useful Life Prediction

    Language:Python26242

  • ritu-thombre99/RUL-Prediction

    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

    Language:Jupyter Notebook26109

  • ericlrf/rul

    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

    Language:Jupyter Notebook24109

  • johnsbuck/rul

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

    Language:Jupyter Notebook22207

  • tjdhg456/RUL-RVE-Pytorch

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

    Language:Python16202

  • LEMMAO/Predictive_Maintenance

    Language:Jupyter Notebook5101

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

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

    Language:Jupyter Notebook5102

  • SNBQT/Awesome-Deep-Fault-Diagnosis

    Awesome Deep Fault Diagnosis

    5231

  • hubtru/Minape

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

    Language:Jupyter Notebook3101

  • hubtru/Impala

    Expandable Isotropic Multimodal Patch Learning Neural Architecture for the Nano-modal (9) time-series and images data.

    2100

  • JinendraSontakke/Predictive-Maintainance

    Language:Jupyter Notebook2100

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

    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).

    Language:Jupyter Notebook1000

  • hubtru/Siren

    SIREN Scalable, Isotropic Recursive Column Multimodal Neural Architecture with Device State Recognition Use-Case

    Language:Jupyter Notebook1200

  • ritu-thombre99/Server-simulation-for-monitoring-RUL

    Server simulation for monitoring remaining useful life of turbofan jet engines

    Language:HTML101