The use of a multi-agent paradigm in electrical plant condition monitoring

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

8 Citations (Scopus)

Abstract

Electrical utilities need to operate their equipment closer to their design limits and require to extend their operating life through automatic condition monitoring systems. This paper introduces a multi agent paradigm for data interpretation in electrical plant monitoring. Data interpretation is of significant importance to infer the state of the equipment by converting the condition monitoring data into appropriate information. The vast amount of data and the complex processes behind on-line fault detection indicate the need for an automated solution. The classification of partial discharge signatures from Gas Insulated Substations. as a result of applying different artificial intelligence techniques within a multi agent system, is described in this paper. A multi agent system that views the problem as an interaction of simple independent software entities, for effective use of the available data. is presented. The overall solution is derived from the combination of solutions provided by the components of the multi-agent system. This multi-agent system can employ various intelligent system techniques and has been implemented using the ZEUS Agent Building Toolkit.
LanguageEnglish
Title of host publicationLESCOPE01
Subtitle of host publicationproceedings of the 2001 large engineering systems conference on power engineering
Place of PublicationNew York
PublisherIEEE
Pages31-36
Number of pages6
ISBN (Print)0780371070
DOIs
Publication statusPublished - 2001
EventLarge Engineering Systems Conference on Power Engineering, 2001. LESCOPE '01. - , United Kingdom
Duration: 11 Jul 200113 Jul 2001

Conference

ConferenceLarge Engineering Systems Conference on Power Engineering, 2001. LESCOPE '01.
CountryUnited Kingdom
Period11/07/0113/07/01

Fingerprint

Condition monitoring
Multi agent systems
Partial discharges
Intelligent systems
Fault detection
Artificial intelligence
Monitoring
Gases

Keywords

  • multi-agent paradigm
  • electrical plant
  • condition monitoring
  • intelligent agents
  • artificial intelligence
  • substations
  • partial discharges
  • multiagent systems
  • intelligent structures
  • intelligent agent
  • gas insulation
  • electrical fault detection

Cite this

Mangina, E., McArthur, S. D. J., & McDonald, J. R. (2001). The use of a multi-agent paradigm in electrical plant condition monitoring. In LESCOPE01: proceedings of the 2001 large engineering systems conference on power engineering (pp. 31-36). New York: IEEE. https://doi.org/10.1109/LESCPE.2001.941621
Mangina, E. ; McArthur, S.D.J. ; McDonald, J.R. / The use of a multi-agent paradigm in electrical plant condition monitoring. LESCOPE01: proceedings of the 2001 large engineering systems conference on power engineering. New York : IEEE, 2001. pp. 31-36
@inproceedings{860c2353e684411c911d1f903ec5d9f1,
title = "The use of a multi-agent paradigm in electrical plant condition monitoring",
abstract = "Electrical utilities need to operate their equipment closer to their design limits and require to extend their operating life through automatic condition monitoring systems. This paper introduces a multi agent paradigm for data interpretation in electrical plant monitoring. Data interpretation is of significant importance to infer the state of the equipment by converting the condition monitoring data into appropriate information. The vast amount of data and the complex processes behind on-line fault detection indicate the need for an automated solution. The classification of partial discharge signatures from Gas Insulated Substations. as a result of applying different artificial intelligence techniques within a multi agent system, is described in this paper. A multi agent system that views the problem as an interaction of simple independent software entities, for effective use of the available data. is presented. The overall solution is derived from the combination of solutions provided by the components of the multi-agent system. This multi-agent system can employ various intelligent system techniques and has been implemented using the ZEUS Agent Building Toolkit.",
keywords = "multi-agent paradigm, electrical plant , condition monitoring, intelligent agents , artificial intelligence , substations , partial discharges , multiagent systems , intelligent structures, intelligent agent , gas insulation , electrical fault detection",
author = "E. Mangina and S.D.J. McArthur and J.R. McDonald",
year = "2001",
doi = "10.1109/LESCPE.2001.941621",
language = "English",
isbn = "0780371070",
pages = "31--36",
booktitle = "LESCOPE01",
publisher = "IEEE",

}

Mangina, E, McArthur, SDJ & McDonald, JR 2001, The use of a multi-agent paradigm in electrical plant condition monitoring. in LESCOPE01: proceedings of the 2001 large engineering systems conference on power engineering. IEEE, New York, pp. 31-36, Large Engineering Systems Conference on Power Engineering, 2001. LESCOPE '01. , United Kingdom, 11/07/01. https://doi.org/10.1109/LESCPE.2001.941621

The use of a multi-agent paradigm in electrical plant condition monitoring. / Mangina, E.; McArthur, S.D.J.; McDonald, J.R.

LESCOPE01: proceedings of the 2001 large engineering systems conference on power engineering. New York : IEEE, 2001. p. 31-36.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - The use of a multi-agent paradigm in electrical plant condition monitoring

AU - Mangina, E.

AU - McArthur, S.D.J.

AU - McDonald, J.R.

PY - 2001

Y1 - 2001

N2 - Electrical utilities need to operate their equipment closer to their design limits and require to extend their operating life through automatic condition monitoring systems. This paper introduces a multi agent paradigm for data interpretation in electrical plant monitoring. Data interpretation is of significant importance to infer the state of the equipment by converting the condition monitoring data into appropriate information. The vast amount of data and the complex processes behind on-line fault detection indicate the need for an automated solution. The classification of partial discharge signatures from Gas Insulated Substations. as a result of applying different artificial intelligence techniques within a multi agent system, is described in this paper. A multi agent system that views the problem as an interaction of simple independent software entities, for effective use of the available data. is presented. The overall solution is derived from the combination of solutions provided by the components of the multi-agent system. This multi-agent system can employ various intelligent system techniques and has been implemented using the ZEUS Agent Building Toolkit.

AB - Electrical utilities need to operate their equipment closer to their design limits and require to extend their operating life through automatic condition monitoring systems. This paper introduces a multi agent paradigm for data interpretation in electrical plant monitoring. Data interpretation is of significant importance to infer the state of the equipment by converting the condition monitoring data into appropriate information. The vast amount of data and the complex processes behind on-line fault detection indicate the need for an automated solution. The classification of partial discharge signatures from Gas Insulated Substations. as a result of applying different artificial intelligence techniques within a multi agent system, is described in this paper. A multi agent system that views the problem as an interaction of simple independent software entities, for effective use of the available data. is presented. The overall solution is derived from the combination of solutions provided by the components of the multi-agent system. This multi-agent system can employ various intelligent system techniques and has been implemented using the ZEUS Agent Building Toolkit.

KW - multi-agent paradigm

KW - electrical plant

KW - condition monitoring

KW - intelligent agents

KW - artificial intelligence

KW - substations

KW - partial discharges

KW - multiagent systems

KW - intelligent structures

KW - intelligent agent

KW - gas insulation

KW - electrical fault detection

U2 - 10.1109/LESCPE.2001.941621

DO - 10.1109/LESCPE.2001.941621

M3 - Conference contribution book

SN - 0780371070

SP - 31

EP - 36

BT - LESCOPE01

PB - IEEE

CY - New York

ER -

Mangina E, McArthur SDJ, McDonald JR. The use of a multi-agent paradigm in electrical plant condition monitoring. In LESCOPE01: proceedings of the 2001 large engineering systems conference on power engineering. New York: IEEE. 2001. p. 31-36 https://doi.org/10.1109/LESCPE.2001.941621