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Topic: "turbofan-engine"

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 at: about 2 years ago - Pushed at: over 3 years ago - Stars: 92 - Forks: 25

Aschen/understand-js-runtimes

List of different up-to-date (2021) resources about Javascript engines

Size: 85.9 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 86 - Forks: 10

kpeters/exploring-nasas-turbofan-dataset

collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset

Language: Jupyter Notebook - Size: 26 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 80 - Forks: 20

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 at: 11 months ago - Pushed at: over 4 years ago - Stars: 40 - Forks: 22

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 at: about 2 years ago - Pushed at: about 2 years ago - Stars: 30 - Forks: 3

dependable-cps/AdversarialAttack-PHM

Language: Python - Size: 9.78 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 12

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 at: 11 months ago - Pushed at: 11 months ago - Stars: 19 - Forks: 0

Ocramnaig94/digital-twin-for-aircraft-engine-maintenance

A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful life

Language: Jupyter Notebook - Size: 527 KB - Last synced at: 10 days ago - Pushed at: 2 months ago - Stars: 9 - Forks: 0

mohyunho/MOO_ELM

Multi-Objective Optimization of ELM for RUL Prediction

Language: Python - Size: 224 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 1

Vinayakmane47/NASA-turbofan-ML-Project-AIOPS

Predicting RUL of turbofan of aircraft Engine using Regression techniques

Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

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 at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

dantethemartian/turbofan

🛫 Turbofan engine SolidWorks model

Size: 3.72 MB - Last synced at: 12 days ago - Pushed at: 6 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 at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

yiqiangjizhang/Turbofan-Parametric-Study

The project aims to study the parametrical parameters of a two-spool turbofan with convergent nozzles

Language: MATLAB - Size: 2.11 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0