Self-learning of fault diagnosis identification

Mata San Marcos, José Luis de la and Rodríguez Hernández, Manuel (2011). Self-learning of fault diagnosis identification. In: "21st European Symposium on Computer Aided Process Engineering, ESCAPE-21", 29/05/2011 - 01/06/2011, Chalkidiki, Grecia. ISBN 9780444538956.

Description

Title: Self-learning of fault diagnosis identification
Author/s:
  • Mata San Marcos, José Luis de la
  • Rodríguez Hernández, Manuel
Item Type: Presentation at Congress or Conference (Article)
Event Title: 21st European Symposium on Computer Aided Process Engineering, ESCAPE-21
Event Dates: 29/05/2011 - 01/06/2011
Event Location: Chalkidiki, Grecia
Title of Book: Proceedings of the 21st European Symposium on Computer Aided Process Engineering, ESCAPE-21
Date: 2011
ISBN: 9780444538956
Subjects:
Freetext Keywords: sensor validation, distributed simulation, modeling.
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

A good and early fault detection and isolation system along with efficient alarm management and fine sensor validation systems are very important in today¿s complex process plants, specially in terms of safety enhancement and costs reduction. This paper presents a methodology for fault characterization. This is a self-learning approach developed in two phases. An initial, learning phase, where the simulation of process units, without and with different faults, will let the system (in an automated way) to detect the key variables that characterize the faults. This will be used in a second (on line) phase, where these key variables will be monitored in order to diagnose possible faults. Using this scheme the faults will be diagnosed and isolated in an early stage where the fault still has not turned into a failure.

More information

Item ID: 11951
DC Identifier: http://oa.upm.es/11951/
OAI Identifier: oai:oa.upm.es:11951
Official URL: http://www.escape-21.gr/
Deposited by: Memoria Investigacion
Deposited on: 25 Sep 2012 11:06
Last Modified: 24 Feb 2017 16:26
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