False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
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Updated
Sep 9, 2020 - Python
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics
Repositorio de trabajo de memoria de titulación: Pronóstico de fallas para mantenimiento predictivo usando metodologías de aprendizaje profundo supervisado.
collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
The project aims to study the parametrical parameters of a two-spool turbofan with convergent nozzles
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.
Multi-Objective Optimization of ELM for RUL Prediction
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)
Predicting RUL of turbofan of aircraft Engine using Regression techniques
Feature clustering and XIA for RUL estimation
Remaining Useful Life estimation and sensor data generation by VAE and diffusion model on C-MAPSS dataset.
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