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.

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

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

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

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

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

Multi-Objective Optimization of ELM for RUL Prediction

Feature clustering and XIA for RUL estimation

Predicting RUL of turbofan of aircraft Engine using Regression techniques

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

Repositorio de trabajo de memoria de titulación: Pronóstico de fallas para mantenimiento predictivo usando metodologías de aprendizaje profundo supervisado.

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

🛫 Turbofan engine SolidWorks model