Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
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Updated
May 17, 2024 - Python
Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
Feature clustering and XIA for RUL estimation
Predicting RUL of turbofan of aircraft Engine using Regression techniques
N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
List of different up-to-date (2021) resources about Javascript engines
Multi-Objective Optimization of ELM 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.
The project aims to study the parametrical parameters of a two-spool turbofan with convergent nozzles
collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
Repositorio de trabajo de memoria de titulación: Pronóstico de fallas para mantenimiento predictivo usando metodologías de aprendizaje profundo supervisado.
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
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