Topic: remaining-useful-life Goto Github

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abiodun-ayodeji / predictive-maintenance
remaining-useful-life,This is a repository of sample codes and implementation framework for industrial machine predictive maintenance tasks using deep learning models.
User: abiodun-ayodeji
failure-prediction predictive-maintenance remaining-useful-life

adam-aalah / feature-clustering-and-xai-for-rul-estimation
remaining-useful-life,Feature clustering and XIA for RUL estimation
User: adam-aalah
c-mapss explainable-ai feature-clustering lstm phm remaining-useful-life remaining-useful-life-prediction xai deep-learning machine-learning

alireza-javanmardi / conformal-rul-intervals
remaining-useful-life,Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)
User: alireza-javanmardi
Home Page: https://papers.phmsociety.org/index.php/ijphm/article/view/3417
conformal-prediction machine-learning remaining-useful-life uncertainty-quantification cmapss deep-learning

biswajitsahoo1111 / rul_codes_open
remaining-useful-life,This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
User: biswajitsahoo1111
Home Page: https://biswajitsahoo1111.github.io/rul_codes_open/
remaining-useful-life machinery-condition-monitoring machine-learning deep-learning prognosis prediction rul-prediction data-driven-prediction cmapss

boemer00 / jet-engine-degradation-prediction
remaining-useful-life,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.
User: boemer00
aerospace aerospace-engineering jet-engine recurrent-neural-networks rnn docker transformer remaining-useful-life sensor-data ci-cd

delta1epsilon / turbofan-remaining-life-prediction
remaining-useful-life,Remaining Useful Life (RUL) prediction for Turbofan Engines
User: delta1epsilon
prognostics rul-prediction nasa-data predictive-maintenance remaining-useful-life-prediction remaining-useful-life

dependable-cps / adversarialattack-phm
remaining-useful-life,
Organization: dependable-cps
adversarial-attacks adversarial-machine-learning adversarial-examples deep-learning prognostics turbofan-engine cnn lstm gru cybersecurity

dependable-cps / fdia-pdm
remaining-useful-life,False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
Organization: dependable-cps
remaining-useful-life false-data-injection iot-sensors sensor-fusion lstm cnn gru deep-learning neural-network turbofan-engine

efthimisfytsilis / aerophm-rul-estimation
remaining-useful-life,Remaining Useful Life (RUL) prediction of Multi-Stiffener composite Panels from Single-Stiffener Panels histories using SVR and LSTM
User: efthimisfytsilis
predictive-maintenance remaining-useful-life lstm-neural-networks regression svr time-series

ericlrf / rul
remaining-useful-life,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
User: ericlrf
remaining-useful-life remaining-life-estimation residual-useful-life survival-analysis degradation-models run-to-failure-models predictive-maintenance pdm prognostics-health-management phm

farayal / memoria_turbofan
remaining-useful-life,Repositorio de trabajo de memoria de titulación: Pronóstico de fallas para mantenimiento predictivo usando metodologías de aprendizaje profundo supervisado.
User: farayal
keras python jupyter-notebooks convolutional-neural-networks turbofan-engine time-series remaining-useful-life

francescofarinola / msc_artificial_intelligence
remaining-useful-life,All the project works, presentations and course notes done by me during the Master of Science in Artificial Intelligence at the University of Bologna
User: francescofarinola
artificial-intelligence deep-learning ethics machine-learning python anomaly-detection combinatorial-optimization computer-vision natural-language-processing neural-network

hash-bash / nasa-jet-engine-rul-prediction-notebook
remaining-useful-life,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).
User: hash-bash
rul-prediction nasa jupyter-notebook remaining-useful-life

hubtru / minape
remaining-useful-life,Multimodal Isotropic Neural Architecture with Patch Embedding to both time series and image data for classification purposes.
User: hubtru
anomaly-detection classification feature-engineering images isotropic-architecture machine-learning multimodal multimodal-deep-learning multimodal-learning neural-network

hubtru / siren
remaining-useful-life,SIREN Scalable, Isotropic Recursive Column Multimodal Neural Architecture with Device State Recognition Use-Case
User: hubtru
anomaly-detection classification feature-engineering images isotropic-architecture machine-learning multimodal multimodal-deep-learning multimodal-learning neural-network

imrahulr / pred-maintenance-siemens
remaining-useful-life,Predictive Maintenance System for Digital Factory Automation
User: imrahulr
Home Page: https://imrahulr.github.io/lstm/kalman%20filter/siemens%20makeit%20real%20hackathon/2018/01/12/predictive-maintenence.html
predictive-maintenance remaining-useful-life deep-learning lstm time-series-forecasting kalman-filtering autoencoder rotary-engine lightgbm xgboost

insdout / time-series-hybrid-autoencoder
remaining-useful-life,Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
User: insdout
conditional-data-generation diffusion-models pytorch time-series vae preventive-maintenance remaining-useful-life variational-autoencoder c-mapss classifier-free-guidance

jiaxiang-cheng / pytorch-cnn-for-rul-prediction
remaining-useful-life,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.
User: jiaxiang-cheng
cnn remaining-useful-life c-mapss deep-learning deep-neural-networks convolutional-neural-networks

jiaxiang-cheng / pytorch-lstm-for-rul-prediction
remaining-useful-life,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.
User: jiaxiang-cheng
lstm lstm-neural-networks remaining-useful-life pytorch cmapss

jiaxiang-cheng / pytorch-transformer-for-rul-prediction
remaining-useful-life,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.
User: jiaxiang-cheng
transformer pytorch pytorch-implementation remaining-useful-life cmapss turbofan-engine prediction predictive-maintenance

jiaxiang-cheng / random-weighted-bootstrap-with-weibull
remaining-useful-life,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.
User: jiaxiang-cheng
transformers prediction remaining-useful-life bootstrap lifetime censored-data bootstrap-samples maximum-likelihood-estimation failures weibull

johnsbuck / rul
remaining-useful-life,A project focused on the improvement for remaining useful life estimation.
User: johnsbuck
estimations rul neural-network machine-learning remaining-useful-life

kidozh / keras_detect_tool_wear
remaining-useful-life,Tool wear prediction by residual CNN
User: kidozh
Home Page: https://kidozh.com/projects/keras_detect_tool_wear/
remaining-useful-life residual-networks keras-neural-networks

kokikwbt / predictive-maintenance
remaining-useful-life,Datasets for Predictive Maintenance
User: kokikwbt
ai-engineering industry-4 machine-learning predictive-maintenance remaining-useful-life anomaly condition-based-maintenance survival-analysis anomaly-detection time-series

lahirujayasinghe / rul-net
remaining-useful-life,Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
User: lahirujayasinghe
augmentaiton remaining-useful-life sensor-fusion 1d-convolution lstm-cnn regression long-short-term-memory convolutional-neural-networks

longxingtan / python-profeld
remaining-useful-life,ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python
User: longxingtan
survival-analysis time-to-event weibull-distribution time-to-failure remaining-useful-life predictive-maintenance data-science machine-learning profeld tensorflow

lucadellalib / bayesian-deep-rul
remaining-useful-life,Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components
User: lucadellalib
bayesian-deep-learning c-mapss condition-based-maintenance neural-network remaining-useful-life uncertainty

lucadellalib / bdl-rul-svgd
remaining-useful-life,Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent
User: lucadellalib
bayes-by-backprop bayesian-deep-learning bayesian-inference bayesian-neural-networks c-mapss deep-learning machine-learning predictive-maintenance python pytorch

lucianolorenti / ceruleo
remaining-useful-life,CeRULEo: Comprehensive utilitiEs for Remaining Useful Life Estimation methOds
User: lucianolorenti
Home Page: https://lucianolorenti.github.io/ceruleo/
predictive-maintenance time-series remaining-useful-life remaining-useful-life-prediction

luqmanbuang / aircraft-engine-lifetime-prediction-with-machine-learning
remaining-useful-life,ASE2306-Capstone Project [2019/20 T3] - Aircraft Engine Lifetime Prediction with Machine Learning
User: luqmanbuang
prediction machine-learning aircraft-engines rul cmpass dataset regression nasa-data remaining-useful-life gas-turbine-engine

madelonhulsebos / rul_estimation
remaining-useful-life,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.
User: madelonhulsebos
remaining-useful-life estimation extended-kalman-filters

michaelbosello / battery-rul-estimation
remaining-useful-life,Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs
User: michaelbosello
deep-neural-networks deep-learning time-series regression lstm bms rul battery-management-system lithium-ion remaining-useful-life

mohyunho / enas-pdm
remaining-useful-life,Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
User: mohyunho
evolutionary-algorithm lstm cnn-lstm neural-architecture-search remaining-useful-life cmapss rul-prediction rul c-mapss predictive-maintenance

mohyunho / n-cmapss_dl
remaining-useful-life,N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
User: mohyunho
cmapss n-cmapss predictive-maintenance remaining-useful-life-prediction remaining-useful-life turbofan-engine rul-prediction c-mapss deep-learning new-cmapss

omega1x / pipenostics
remaining-useful-life,Heat loss, corrosion diagnostics, and predictive maintenance of pipeline systems. The package is designed for engineers who are involved in exploratory or routine calculations.
User: omega1x
Home Page: https://omega1x.github.io/pipenostics/
heat-losses inline-inspection remaining-useful-life district-heating

petr-larin / bmstu-graduate-qualifying-project
remaining-useful-life,Graduate Qualifying Project for the Data Science course at BMSTU in spring 2023 (11784DS)
User: petr-larin
tensorflow-serving winui3 remaining-useful-life

ritu-thombre99 / rul-prediction
remaining-useful-life,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
User: ritu-thombre99
rul remaining-useful-life phm phm-models lstm-neural-networks lstm-model vector-autoregression regression regression-models linear-regression

shubhankarkg / rul_prediction_svm
remaining-useful-life,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
User: shubhankarkg
svm remaining-useful-life-prediction machine-learning remaining-useful-life

snbqt / awesome-deep-fault-diagnosis
remaining-useful-life,Awesome Deep Fault Diagnosis
User: snbqt
Home Page: https://mekhub.cn/machine-diagnosis/awesome-deep-fault-diagnosis
awesome-deep-fault-diagnosis fault-diagnosis rul cwru remaining-useful-life

starmarco / dvae_torch
remaining-useful-life,A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation
User: starmarco
cmapss pytorch remaining-useful-life variational-autoencoder

starmarco / kalman_dvae
remaining-useful-life,Tensorflow implementation of a Kalman-DVAE for remaining useful life estimation on the CMAPSS dataset
User: starmarco
cmapss kalman-filter remaining-useful-life tensorflow variational-autoencoder

tilman151 / rul-adapt
remaining-useful-life,A collection of unsupervised domain adaption algorithms for RUL estimation.
User: tilman151
Home Page: https://krokotsch.eu/rul-adapt/
cmapss domain-adaptation femto pronostia-dataset pytorch pytorch-lightning remaining-useful-life xjtu

tilman151 / rul-datasets
remaining-useful-life,A collection of datasets for RUL estimation as Lightning Data Modules.
User: tilman151
Home Page: https://krokotsch.eu/rul-datasets
pytorch cmapss domain-adaptation femto pronostia-dataset remaining-useful-life remaining-useful-life-prediction semi-supervised-learning xjtu pytorch-lightning

tvhahn / weibull-knowledge-informed-ml
remaining-useful-life,Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).
User: tvhahn
condition-monitoring weibull machine-learning knowledge-informed-machine-learning bearing-fault-diagnosis remaining-useful-life ims-bearing-data-set pronostia-dataset prognostics-health-management deep-learning

ultimatejoe / rul_of_cutter
remaining-useful-life,刀具剩余寿命预测
User: ultimatejoe
data-mining python remaining-useful-life

xiuzezhou / calce
remaining-useful-life,锂电池数据集 CALCE
User: xiuzezhou
battery remaining-useful-life li-battery rul endoflife eol

xiuzezhou / nasa
remaining-useful-life,Analysis for NASA data sets
User: xiuzezhou
battery-life battery remaining-useful-life rul endoflife eof li-battery

xiuzezhou / rul
remaining-useful-life,Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
User: xiuzezhou
transformer deep-learning machine-learning remaining-useful-life remaining-useful-life-prediction battery lithium lithium-ion neural-network neural-networks

yi-chen-lin2019 / predictive-maintenance-with-machine-learning
remaining-useful-life,This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
User: yi-chen-lin2019
machine-learning predictive-maintenance python automated-machine-learning anomaly-detection remaining-useful-life failure-detection industry-4 ball-bearing battery

zhmou / turbofan-engine-rul-prediction
remaining-useful-life,RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf
User: zhmou
lstm pytorch pytorch-implementation remaining-useful-life remaining-useful-life-prediction rul-prediction