c-mapss

There are 0 repository under c-mapss topic.

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.
cnn remaining-useful-life c-mapss deep-learning deep-neural-networks convolutional-neural-networks
Language:Python 66
mohyunho / N-CMAPSS_DL
N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
c-mapss cmapss deep-learning machine-learning n-cmapss ncmapss new-cmapss predictive-maintenance prognostics remaining-useful-life remaining-useful-life-prediction rul-prediction turbofan-engine
Language:Jupyter Notebook 62
mohyunho / ENAS-PdM
Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
evolutionary-algorithm lstm cnn-lstm neural-architecture-search remaining-useful-life cmapss rul-prediction rul c-mapss predictive-maintenance enas
Language:Python 21
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.
conditional-data-generation diffusion-models pytorch time-series vae preventive-maintenance remaining-useful-life variational-autoencoder c-mapss classifier-free-guidance ddpm latent-space latent-variable-models triplet-loss turbofan-engine
Language:Python 18
MOO_ELM
mohyunho / MOO_ELM
Multi-Objective Optimization of ELM for RUL Prediction
remaining-useful-life-prediction extreme-learning-machine machine-learning deep-learning predictive-maintenance rul-prediction c-mapss n-cmapss turbofan-engine prognostics multi-objective-optimization evolutionary-algorithms
Language:Python 14
lucadellalib / bayesian-deep-rul
Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components
bayesian-deep-learning c-mapss condition-based-maintenance neural-network remaining-useful-life uncertainty
Language:Python 12
lucadellalib / bdl-rul-svgd
Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent
bayes-by-backprop bayesian-deep-learning bayesian-inference bayesian-neural-networks c-mapss deep-learning machine-learning predictive-maintenance python pytorch remaining-useful-life stein-variational-gradient-descent variational-inference
Language:Python 7
adam-aalah / Feature-clustering-and-XAI-for-RUL-estimation
Feature clustering and XIA for RUL estimation
c-mapss explainable-ai feature-clustering lstm phm remaining-useful-life remaining-useful-life-prediction xai deep-learning machine-learning rul-prediction turbofan-engine python r
Language:Jupyter Notebook 2
c-mapss
AmadejTratnik / c-mapss
Fault Detection Of JET Engine with Reccurent Neural networks
neural-networks nasa reccur c-mapss
Language:Jupyter Notebook