Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders

Autor: Ana González-Muñiz, Ignacio Díaz, Abel A. Cuadrado, Diego García-Pérez, Daniel Pérez

Publikováno v: Scopus

This work has been financed by the Spanish National Research Agency (under grant number PID2020-115401GB-I00/AEI/ 10.13039/501100011033 ). The authors would also like to thank the financial support provided by the Principado de Asturias government, S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5e8ec7b0e6d3c87052a064fc22cf1b2
https://doi.org/10.1016/j.compeleceng.2022.108065

Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview

Autor: Diego Garcia-Perez, Mariam Saeed, Ignacio Diaz, Jose M. Enguita, Juan Manuel Guerrero, Fernando Briz

Publikováno v: IEEE Access, Vol 12, Pp 27167-27179 (2024)

Monitoring and fault detection can be critical for efficient, safe and reliable operation of electric drive systems. Unfortunately, developing accurate physics-based models for these tasks is difficult due to unknown machine parameters and incomplete

Externí odkaz: https://doaj.org/article/0aa1f24af7114b8f9a04e560d67e1667

Bancada para análisis inteligente de datos en monitorización de salud estructural

Autor: Abel Alberto Cuadrado Vega, Ignacio Díaz Blanco, Daniel Pérez López, Diego García Pérez

Publikováno v: RUO. Repositorio Institucional de la Universidad de Oviedo
instname
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
RUC. Repositorio da Universidade da Coruña

Jornadas de Automática (37ª. 2017. Gijón)
Este trabajo ha sido nanciado por el Ministerio de Economía y Competitividad (MINECO), Programa Estatal de I+D+i Orientada a los Retos de la Sociedad y por el Fondo Europeo de Desarrollo Regional (FE

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bf49633285e094c9f384d8cc830196d
http://hdl.handle.net/10651/46523