Supervisión inteligente de un proceso complejo basada en un modelo neuronal. Un caso real de aplicación.

Haber Guerra, Rodolfo E. and Alique, Angel and Alique, José Ramón and Jiménez Avello, Agustín (2006). Supervisión inteligente de un proceso complejo basada en un modelo neuronal. Un caso real de aplicación.. In: "II Simposio CEA de Control Inteligente", 28 al 30 de junio de 2006, Huelva, España.

Description

Title: Supervisión inteligente de un proceso complejo basada en un modelo neuronal. Un caso real de aplicación.
Author/s:
  • Haber Guerra, Rodolfo E.
  • Alique, Angel
  • Alique, José Ramón
  • Jiménez Avello, Agustín
Item Type: Presentation at Congress or Conference (Article)
Event Title: II Simposio CEA de Control Inteligente
Event Dates: 28 al 30 de junio de 2006
Event Location: Huelva, España
Title of Book: II Simposio CEA de Control Inteligente
Date: 28 June 2006
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
UPM's Research Group: Control Inteligente
Creative Commons Licenses: Recognition - Non commercial

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Abstract

An intelligent supervisory system inspired on a Neural Network Output Error model is presented herein. The application for predicting tool wear in a milling process is selected as a case study. The supervision block consists of a neural model, the weighted sum of squared residuals method and the tool condition index for a decision-making. This work shows the combined use of residual vector norm and the norm of the residual vector derivative to compute adaptive thresholds. The study analyses the influence of infinity and Euclidean norm on the results. Experimental tests are run in a professional machining centre under different cutting conditions using real-time data and new, half-worn and worn tools. The results show this supervisory system’s suitability.

More information

Item ID: 48006
DC Identifier: http://oa.upm.es/48006/
OAI Identifier: oai:oa.upm.es:48006
Deposited by: Dr. Rodolfo Haber
Deposited on: 05 Oct 2017 10:34
Last Modified: 05 Oct 2017 10:34
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