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

Aizpurúa Pino, Omar Olmedo; Galán López, Ramón y Jiménez Avello, Agustín (2008). A New Cognitive-Based Massive Alarm Management System in Electrical Power Administration. En: "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.

Descripción

Título: A New Cognitive-Based Massive Alarm Management System in Electrical Power Administration
Autor/es:
  • Aizpurúa Pino, Omar Olmedo
  • Galán López, Ramón
  • Jiménez Avello, Agustín
Director/es:
  • Aizpurúa, Omar
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 7th International Caribbean Conference on Devices, Circuits and Systems. ICCDCS 2008
Fechas del Evento: 28/04/2008-30/04/2008
Lugar del Evento: Cancún, México
Título del Libro: Devices, Circuits and Systems, 2008. ICCDCS 2008. 7th International Caribbean Conference on. Proceedings
Fecha: 30 Abril 2008
ISBN: 978-1-4244-1956-2
Materias:
Palabras Clave Informales: Cognitive systems, alarm management systems, artificial intelligence, electrical power.
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Automática, Ingeniería Electrónica e Informática Industrial [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 3688
Identificador DC: http://oa.upm.es/3688/
Identificador OAI: oai:oa.upm.es:3688
Identificador DOI: 10.1109/ICCDCS.2008.4542607
URL Oficial: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4534386
Depositado por: Memoria Investigacion
Depositado el: 13 Jul 2010 11:14
Ultima Modificación: 20 Abr 2016 13:11
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