Ecosyste.ms: Repos

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GitHub topics: remaining-useful-life

XiuzeZhou/RUL

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

Language: Jupyter Notebook - Size: 205 MB - Last synced: about 9 hours ago - Pushed: about 12 hours ago - Stars: 242 - Forks: 55

dependable-cps/FDIA-PdM

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

Language: Python - Size: 10.9 MB - Last synced: 3 days ago - Pushed: over 3 years ago - Stars: 40 - Forks: 22

dependable-cps/AdversarialAttack-PHM

Language: Python - Size: 9.78 MB - Last synced: 3 days ago - Pushed: over 3 years ago - Stars: 24 - Forks: 12

tilman151/rul-datasets

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

Language: Python - Size: 1.26 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 28 - Forks: 2

insdout/Time-Series-Hybrid-Autoencoder

Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.

Language: Python - Size: 348 MB - Last synced: 14 days ago - Pushed: 14 days ago - Stars: 19 - Forks: 0

hubtru/Siren

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

Language: Jupyter Notebook - Size: 188 MB - Last synced: 15 days ago - Pushed: 15 days ago - Stars: 1 - Forks: 0

lucianolorenti/ceruleo

CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds

Language: Python - Size: 83.6 MB - Last synced: 10 days ago - Pushed: 17 days ago - Stars: 26 - Forks: 7

XiuzeZhou/CALCE

锂电池数据集 CALCE

Language: Jupyter Notebook - Size: 148 MB - Last synced: 18 days ago - Pushed: 19 days ago - Stars: 99 - Forks: 31

XiuzeZhou/NASA

Analysis for NASA data sets

Language: Jupyter Notebook - Size: 55.8 MB - Last synced: 19 days ago - Pushed: 19 days ago - Stars: 98 - Forks: 36

omega1x/pipenostics

Heat loss, corrosion diagnostics, and predictive maintenance of pipeline systems. The package is designed for engineers who are involved in exploratory or routine calculations.

Language: R - Size: 7.04 MB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 0 - Forks: 0

tilman151/rul-adapt

A collection of unsupervised domain adaption algorithms for RUL estimation.

Language: Python - Size: 3.77 MB - Last synced: 8 days ago - Pushed: about 1 month ago - Stars: 24 - Forks: 2

LahiruJayasinghe/RUL-Net

Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

Language: Python - Size: 29.5 MB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 210 - Forks: 70

abiodun-ayodeji/Predictive-Maintenance

This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning models.

Language: Jupyter Notebook - Size: 951 KB - Last synced: 8 days ago - Pushed: 8 days ago - Stars: 25 - Forks: 5

tvhahn/weibull-knowledge-informed-ml

Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).

Language: Python - Size: 42.9 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 115 - Forks: 35

biswajitsahoo1111/rul_codes_open

This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.

Language: Jupyter Notebook - Size: 20.5 MB - Last synced: 29 days ago - Pushed: 11 months ago - Stars: 142 - Forks: 36

hubtru/Minape

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

Language: Jupyter Notebook - Size: 46.9 MB - Last synced: 20 days ago - Pushed: 2 months ago - Stars: 2 - Forks: 0

hubtru/Impala

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

Size: 1.07 GB - Last synced: 20 days ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

efthimisfytsilis/AeroPHM-RUL-Estimation

Remaining Useful Life (RUL) prediction of Multi-Stiffener composite Panels from Single-Stiffener Panels histories using SVR and LSTM

Language: Jupyter Notebook - Size: 5.3 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

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

Feature clustering and XIA for RUL estimation

Language: Jupyter Notebook - Size: 79.9 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 1

lucadellalib/bdl-rul-svgd

Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent

Language: Python - Size: 11.6 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0

hertzMotorz/tarcio

bat_vision

Language: C - Size: 49.8 KB - Last synced: 4 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 3

MichaelBosello/battery-rul-estimation

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

Language: Jupyter Notebook - Size: 8.62 MB - Last synced: 4 months ago - Pushed: 8 months ago - Stars: 124 - Forks: 32

boemer00/jet-engine-degradation-prediction

This project uses Transformer-based RNN model to predict the remaining useful life (RUL) of turbo fan jet engines using NASA's C-MAPSS simulated sensor data.

Language: Jupyter Notebook - Size: 7.1 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 2 - Forks: 0

kokikwbt/predictive-maintenance

Datasets for Predictive Maintenance

Language: Jupyter Notebook - Size: 201 MB - Last synced: 7 months ago - Pushed: 10 months ago - Stars: 61 - Forks: 16

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 Notebook - Size: 20.7 MB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 16 - Forks: 6

farayal/memoria_turbofan

Repositorio de trabajo de memoria de titulación: Pronóstico de fallas para mantenimiento predictivo usando metodologías de aprendizaje profundo supervisado.

Language: Jupyter Notebook - Size: 5.56 MB - Last synced: 5 months ago - Pushed: over 3 years ago - Stars: 2 - Forks: 0

StarMarco/DVAE_torch

A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation

Language: Jupyter Notebook - Size: 14.4 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 1 - Forks: 1

imrahulr/Pred-Maintenance-Siemens

Predictive Maintenance System for Digital Factory Automation

Language: Jupyter Notebook - Size: 16.1 MB - Last synced: 7 months ago - Pushed: almost 5 years ago - Stars: 41 - Forks: 10

StarMarco/Kalman_DVAE

Tensorflow implementation of a Kalman-DVAE for remaining useful life estimation on the CMAPSS dataset

Language: Jupyter Notebook - Size: 12.6 MB - Last synced: 8 months ago - Pushed: 8 months 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: 10 months ago - Pushed: over 2 years ago - Stars: 11 - Forks: 5

alireza-javanmardi/conformal-RUL-intervals

Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)

Language: Python - Size: 37.1 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 1 - Forks: 2

hash-bash/NASA-Jet-Engine-RUL-Prediction-Notebook

Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is done by training a model using Keras (TensorFlow).

Language: Jupyter Notebook - Size: 5.35 MB - Last synced: 11 months ago - Pushed: about 3 years ago - Stars: 6 - Forks: 5

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: about 1 year ago - Pushed: about 1 year ago - Stars: 30 - Forks: 3

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: about 1 year ago - Pushed: about 1 year ago - Stars: 24 - Forks: 2

jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.

Language: Python - Size: 11.9 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 92 - Forks: 25

lucadellalib/bayesian-deep-rul

Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components

Language: Python - Size: 5.4 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 5 - Forks: 2

pk-218/RUL-Prediction-of-Li-ion-Batteries Fork of utsavk28/long-live-the-battery

RNN-flavoured Ensembling to Predict Remaining Useful Life of Lithium-ion Batteries

Size: 6.06 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 8 - Forks: 4

jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction

PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp. 214-228). Springer, Cham.

Language: Python - Size: 11.6 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 43 - Forks: 15

jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction

PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.

Language: Python - Size: 11.4 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 52 - Forks: 14

Yi-Chen-Lin2019/Predictive-maintenance-with-machine-learning

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

Language: Jupyter Notebook - Size: 104 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 14 - Forks: 3

kidozh/keras_detect_tool_wear 📦

Tool wear prediction by residual CNN

Language: HTML - Size: 57.8 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 45 - Forks: 18

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

Language: Jupyter Notebook - Size: 1.19 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 18 - Forks: 4

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 Notebook - Size: 36.3 MB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 6 - Forks: 6

johnsbuck/rul 📦

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

Language: Jupyter Notebook - Size: 19.3 MB - Last synced: over 1 year ago - Pushed: almost 7 years ago - Stars: 16 - Forks: 7

mohyunho/ENAS-PdM

Evolutionary Neural Architecture Search for Remaining Useful Life Prediction

Language: Python - Size: 985 KB - Last synced: about 1 year ago - Pushed: about 3 years ago - Stars: 9 - Forks: 1

jiaxiang-cheng/Random-Weighted-Bootstrap-with-Weibull

Reproduction of the work by Hong, Y., Meeker, W. Q., & McCalley, J. D. (2009). Prediction of remaining life of power transformers based on left truncated and right censored lifetime data. Annals of Applied Statistics, 3(2), 857-879.

Language: R - Size: 16.9 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 6 - Forks: 1

Chunyfong/Predictive-Maintenance-Workflow

Language: Python - Size: 4.88 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

LongxingTan/python-profeld

ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python

Language: Python - Size: 518 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 10 - Forks: 5

madelonhulsebos/RUL_estimation

This repository holds the results of a project on Remaining Useful Lifetime estimation of a turbofan engine for a course of Delft University of Technology.

Language: Matlab - Size: 2.32 MB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 8 - Forks: 6

llromerorr/TerminalNote

The note taking application for the terminal

Language: C - Size: 229 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

Related Keywords
remaining-useful-life 50 predictive-maintenance 16 machine-learning 16 deep-learning 12 rul 10 time-series 10 cmapss 10 regression 9 rul-prediction 9 pytorch 9 lstm 8 remaining-useful-life-prediction 8 turbofan-engine 7 c-mapss 7 neural-network 7 anomaly-detection 5 prognostics 4 classification 4 phm 4 python 4 industry-4 4 battery 4 pronostia-dataset 3 multimodal-deep-learning 3 multimodal 3 isotropic-architecture 3 convolutional-neural-networks 3 images 3 cnn 3 survival-analysis 3 feature-engineering 3 transformer 3 variational-autoencoder 3 condition-based-maintenance 3 lstm-neural-networks 3 prediction 3 multimodal-learning 2 lithium-ion 2 data-science 2 endoflife 2 svm-classifier 2 li-battery 2 pdm 2 tensorflow 2 bayesian-deep-learning 2 svm 2 failure-prediction 2 condition-monitoring 2 prognostics-health-management 2 weibull 2 pytorch-implementation 2 time-series-forecasting 2 cybersecurity 2 domain-adaptation 2 femto 2 run-to-failure-models 2 pytorch-lightning 2 xjtu 2 gru 2 sensor-fusion 2 regression-models 2 recurrent-neural-networks 2 deep-neural-networks 2 time-to-event 2 linear-regression 2 phm-models 2 uncertainty-quantification 1 time-series-analysis 1 run-to-failure 1 terminal 1 jupyter-notebook 1 nasa 1 n-cmapss 1 prognosis-and-health-management 1 forecasting 1 ncmapss 1 conformal-prediction 1 nasa-data 1 kalman-filter 1 logistic-regression 1 xgboost 1 lstm-model 1 random-forest 1 vector-autoregression 1 jupyter-notebooks 1 siemens 1 keras 1 autoencoder 1 rotary-engine 1 python3 1 lightgbm 1 kalman-filtering 1 evolutionary-algorithm 1 neural-architecture-search 1 bootstrap 1 bootstrap-samples 1 censored-data 1 failures 1 lifetime 1 taking-notes 1