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c-mapss

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mohyunho /N-CMAPSS_DL

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

machine-learning deep-learning predictive-maintenance remaining-useful-life c-mapss prognostics turbofan-engine rul-prediction cmapss remaining-useful-life-prediction n-cmapss new-cmapss ncmapss

UpdatedApr 13, 2023
Jupyter Notebook

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.

deep-neural-networks deep-learning cnn convolutional-neural-networks remaining-useful-life c-mapss

UpdatedJul 5, 2021
Python

Time-Series-Hybrid-Autoencoder

insdout /Time-Series-Hybrid-Autoencoder

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

time-series pytorch vae latent-variable-models triplet-loss variational-autoencoder remaining-useful-life latent-space diffusion-models c-mapss turbofan-engine ddpm classifier-free-guidance conditional-data-generation preventive-maintenance

UpdatedMay 17, 2024
Python

mohyunho /ENAS-PdM

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

lucadellalib /bdl-rul-svgd

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

python machine-learning deep-learning pytorch bayesian-inference variational-inference bayesian-neural-networks bayesian-deep-learning predictive-maintenance remaining-useful-life bayes-by-backprop c-mapss stein-variational-gradient-descent

UpdatedFeb 5, 2024
Python

lucadellalib /bayesian-deep-rul

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

neural-network uncertainty bayesian-deep-learning remaining-useful-life c-mapss condition-based-maintenance

UpdatedApr 26, 2022
Python

MOO_ELM

mohyunho /MOO_ELM

Multi-Objective Optimization of ELM for RUL Prediction

machine-learning deep-learning evolutionary-algorithms multi-objective-optimization extreme-learning-machine predictive-maintenance c-mapss prognostics turbofan-engine rul-prediction remaining-useful-life-prediction n-cmapss

UpdatedJun 1, 2022
Python

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

Feature clustering and XIA for RUL estimation

python machine-learning r deep-learning lstm remaining-useful-life explainable-ai xai c-mapss feature-clustering phm turbofan-engine rul-prediction remaining-useful-life-prediction

UpdatedFeb 7, 2024
Jupyter Notebook

c-mapss

AmadejTratnik /c-mapss

Fault Detection Of JET Engine with Reccurent Neural networks

nasa neural-networks c-mapss reccur

UpdatedMay 20, 2024
Jupyter Notebook

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