Análisis de vibraciones en una estructura utilizando echo state networks

  1. Ignacio Díaz Blanco 1
  2. Diego García Pérez 1
  3. Ana González
  4. Abel A. Cuadrado Vega 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Book:
XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019
  1. Jose Luis Calvo Rolle (coord.)
  2. Jose Luis Casteleiro Roca (coord.)
  3. María Isabel Fernández Ibáñez (coord.)
  4. Óscar Fontenla Romero (coord.)
  5. Esteban Jove Pérez (coord.)
  6. Alberto José Leira Rejas (coord.)
  7. José Antonio López Vázquez (coord.)
  8. Vanesa Loureiro Vázquez (coord.)
  9. María Carmen Meizoso López (coord.)
  10. Francisco Javier Pérez Castelo (coord.)
  11. Andrés José Piñón Pazos (coord.)
  12. Héctor Quintián Pardo (coord.)
  13. Juan Manuel Rivas Rodríguez (coord.)
  14. Benigno Rodríguez Gómez (coord.)
  15. Rafael Alejandro Vega Vega (coord.)

Publisher: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-716-9

Year of publication: 2019

Pages: 186-191

Congress: Jornadas de Automática (40. 2019. Ferrol)

Type: Conference paper

DIALNET GOOGLE SCHOLAR lock_openRUC editor

Abstract

This article proposes to explore the use of recurrent echo state network (ESN) as tools for the detection and diagnosis of failures in structures. This is a first experience in the use of ESN for anomaly detection, which has been tested on real vibration data of an impact-excited structure. The analysis of the residues between the ESN model estimations and the real vibration values has allowed to detect the presence of anomalous conditions in the structure, thus demonstrating the potential of this preliminary approach.

Data source: Dialnet