Recurrent Neuronal Networks for the Prediction of the Temperature of a Synchronous Machine During Its Operation

Recurrent Neuronal Networks for the Prediction of the Temperature of a Synchronous Machine During Its Operation

This work presents the development of an adaptive thermal protection system for synchronous machines (SMs), taking into consideration the final cooling temperature and the operation point of the machine. This system aims to improve current thermal protections, which consist of a fixed alarm and trip...

Full description

Saved in:
Bibliographic Details
Main Authors: Rubén Pascual, Marcos Esteban, José M. Guerrero, Carlos A. Platero
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Machines
Subjects:
synchronous machines
thermal protection
condition monitoring
deep neural networks
long short-term memory
power generation
Online Access:https://www.mdpi.com/2075-1702/13/5/387
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2075-1702/13/5/387

Similar Items