A New Cognitive-Based Massive Alarm Management System in Electrical Power Administration

Aizpurúa Pino, Omar Olmedo and Galán López, Ramón and Jiménez Avello, Agustín (2008). A New Cognitive-Based Massive Alarm Management System in Electrical Power Administration. In: "7th International Caribbean Conference on Devices, Circuits and Systems. ICCDCS 2008", 28/04/2008-30/04/2008, Cancún, México. ISBN 978-1-4244-1956-2. pp. 1-6. https://doi.org/10.1109/ICCDCS.2008.4542607.

Description

Title: A New Cognitive-Based Massive Alarm Management System in Electrical Power Administration
Author/s:
  • Aizpurúa Pino, Omar Olmedo
  • Galán López, Ramón
  • Jiménez Avello, Agustín
Contributor/s:
  • Aizpurúa, Omar
Item Type: Presentation at Congress or Conference (Article)
Event Title: 7th International Caribbean Conference on Devices, Circuits and Systems. ICCDCS 2008
Event Dates: 28/04/2008-30/04/2008
Event Location: Cancún, México
Title of Book: Devices, Circuits and Systems, 2008. ICCDCS 2008. 7th International Caribbean Conference on. Proceedings
Date: 30 April 2008
ISBN: 978-1-4244-1956-2
Subjects:
Freetext Keywords: Cognitive systems, alarm management systems, artificial intelligence, electrical power.
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

This paper presents a methodology that integrates several available techniques to manage the massive amount of alarm signals in electrical power dispatch control centres, as well as the contribution of each entity involved in the system. Artificial intelligence techniques that can be used in this problem are reviewed here based on the available information. The final objective is to find the root cause of avalanches of alarms (failure tree) and to reduce their number through grouping or clustering techniques so that the EEMUA 191 standards are followed. Even though other contributions in this topic have been made before, the alarm management problem continues to be practically unsolved for many applications in industry. Here, the integration is developed using the ontology of each system domains, i.e., the ontology corresponding to the alarms, controls, events, energy flow and trigger sequence. Additionally, in this methodology, a rule based expert system is used to treat the alarms with a neural net based approach to treat the historical database of alarms and failures.

More information

Item ID: 3688
DC Identifier: http://oa.upm.es/3688/
OAI Identifier: oai:oa.upm.es:3688
DOI: 10.1109/ICCDCS.2008.4542607
Official URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4534386
Deposited by: Memoria Investigacion
Deposited on: 13 Jul 2010 11:14
Last Modified: 20 Apr 2016 13:11
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