turbofan-engine

There are 2 repositories under turbofan-engine topic.

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.
transformer pytorch pytorch-implementation remaining-useful-life cmapss turbofan-engine prediction predictive-maintenance
Language:Python 187
kpeters / exploring-nasas-turbofan-dataset
collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
predictive-maintenance turbofan-engine nasa cmapss
Language:Jupyter Notebook 112
Aschen / understand-js-runtimes
List of different up-to-date (2021) resources about Javascript engines
javascript nodejs v8 turbofan-engine ignition just-in-time performance optimization
88
mohyunho / N-CMAPSS_DL
N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
cmapss n-cmapss predictive-maintenance remaining-useful-life-prediction remaining-useful-life turbofan-engine rul-prediction c-mapss deep-learning new-cmapss machine-learning ncmapss prognostics
Language:Jupyter Notebook 62
dependable-cps / FDIA-PdM
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
remaining-useful-life false-data-injection iot-sensors sensor-fusion lstm cnn gru deep-learning neural-network turbofan-engine regression linear-regression cyber-attack predictive-analytics predictive-maintenance rul-prediction industry-4 cyber-physical-attacks cybersecurity iot-security
Language:Python 39
dependable-cps / AdversarialAttack-PHM
adversarial-attacks adversarial-machine-learning adversarial-examples deep-learning prognostics turbofan-engine cnn lstm gru cybersecurity iot sensors time-series regression-models time-series-forecasting remaining-useful-life phm-models industry-4 industrial-iot
Language:Python 24
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 19
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
Vinayakmane47 / NASA-turbofan-ML-Project-AIOPS
Predicting RUL of turbofan of aircraft Engine using Regression techniques
cicd machine-learning nasa turbofan-engine
Language:Jupyter Notebook 3
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
farayal / memoria_turbofan
Repositorio de trabajo de memoria de titulación: Pronóstico de fallas para mantenimiento predictivo usando metodologías de aprendizaje profundo supervisado.
keras python jupyter-notebooks convolutional-neural-networks turbofan-engine time-series remaining-useful-life
Language:Jupyter Notebook 2
yiqiangjizhang / Turbofan-Parametric-Study
The project aims to study the parametrical parameters of a two-spool turbofan with convergent nozzles
turbofan-engine turbofan parametric-analysis engine propulsion
Language:MATLAB 1