Data management of on-line partial discharge monitoring using wireless sensor nodes integrated with a multi-agent system

Philip Baker, S.D.J. McArthur, M.D. Judd

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

On-line partial discharge monitoring has been the subject of significant research in previous years but little work has been carried out with regard to the management of on-site data. To date, on-line partial discharge monitoring within a substation has only been concerned with single plant items, so the data management problem has been minimal. As the age of plant equipment increases, so does the need for condition monitoring to ensure maximum lifespan. This paper presents an approach to the management of partial discharge data through the use of embedded monitoring techniques running on wireless sensor nodes. This method is illustrated by a case study on partial discharge monitoring data from an ageing HVDC reactor.

Conference

ConferenceInternational Conference on Intelligent Systems Applications to Power Systems
CityToki Messe, Niigata
Period5/11/078/11/07

Fingerprint

Partial discharges
Multi agent systems
Sensor nodes
Information management
Monitoring
Condition monitoring
Aging of materials

Keywords

  • condition monitoring
  • intelligent systems
  • multi-agent systems
  • sensor networks

Cite this

Baker, P., McArthur, S. D. J., & Judd, M. D. (2008). Data management of on-line partial discharge monitoring using wireless sensor nodes integrated with a multi-agent system. 1 - 6 . Paper presented at International Conference on Intelligent Systems Applications to Power Systems, Toki Messe, Niigata, . https://doi.org/10.1109/ISAP.2007.4441665
Baker, Philip ; McArthur, S.D.J. ; Judd, M.D. / Data management of on-line partial discharge monitoring using wireless sensor nodes integrated with a multi-agent system. Paper presented at International Conference on Intelligent Systems Applications to Power Systems, Toki Messe, Niigata, .6 p.
@conference{4f056d98926940cfa07a3c5c43712837,
title = "Data management of on-line partial discharge monitoring using wireless sensor nodes integrated with a multi-agent system",
abstract = "On-line partial discharge monitoring has been the subject of significant research in previous years but little work has been carried out with regard to the management of on-site data. To date, on-line partial discharge monitoring within a substation has only been concerned with single plant items, so the data management problem has been minimal. As the age of plant equipment increases, so does the need for condition monitoring to ensure maximum lifespan. This paper presents an approach to the management of partial discharge data through the use of embedded monitoring techniques running on wireless sensor nodes. This method is illustrated by a case study on partial discharge monitoring data from an ageing HVDC reactor.",
keywords = "condition monitoring , intelligent systems , multi-agent systems , sensor networks",
author = "Philip Baker and S.D.J. McArthur and M.D. Judd",
year = "2008",
month = "1",
day = "28",
doi = "10.1109/ISAP.2007.4441665",
language = "English",
pages = "1 -- 6",
note = "International Conference on Intelligent Systems Applications to Power Systems ; Conference date: 05-11-2007 Through 08-11-2007",

}

Baker, P, McArthur, SDJ & Judd, MD 2008, 'Data management of on-line partial discharge monitoring using wireless sensor nodes integrated with a multi-agent system' Paper presented at International Conference on Intelligent Systems Applications to Power Systems, Toki Messe, Niigata, 5/11/07 - 8/11/07, pp. 1 - 6 . https://doi.org/10.1109/ISAP.2007.4441665

Data management of on-line partial discharge monitoring using wireless sensor nodes integrated with a multi-agent system. / Baker, Philip; McArthur, S.D.J.; Judd, M.D.

2008. 1 - 6 Paper presented at International Conference on Intelligent Systems Applications to Power Systems, Toki Messe, Niigata, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Data management of on-line partial discharge monitoring using wireless sensor nodes integrated with a multi-agent system

AU - Baker, Philip

AU - McArthur, S.D.J.

AU - Judd, M.D.

PY - 2008/1/28

Y1 - 2008/1/28

N2 - On-line partial discharge monitoring has been the subject of significant research in previous years but little work has been carried out with regard to the management of on-site data. To date, on-line partial discharge monitoring within a substation has only been concerned with single plant items, so the data management problem has been minimal. As the age of plant equipment increases, so does the need for condition monitoring to ensure maximum lifespan. This paper presents an approach to the management of partial discharge data through the use of embedded monitoring techniques running on wireless sensor nodes. This method is illustrated by a case study on partial discharge monitoring data from an ageing HVDC reactor.

AB - On-line partial discharge monitoring has been the subject of significant research in previous years but little work has been carried out with regard to the management of on-site data. To date, on-line partial discharge monitoring within a substation has only been concerned with single plant items, so the data management problem has been minimal. As the age of plant equipment increases, so does the need for condition monitoring to ensure maximum lifespan. This paper presents an approach to the management of partial discharge data through the use of embedded monitoring techniques running on wireless sensor nodes. This method is illustrated by a case study on partial discharge monitoring data from an ageing HVDC reactor.

KW - condition monitoring

KW - intelligent systems

KW - multi-agent systems

KW - sensor networks

U2 - 10.1109/ISAP.2007.4441665

DO - 10.1109/ISAP.2007.4441665

M3 - Paper

SP - 1

EP - 6

ER -

Baker P, McArthur SDJ, Judd MD. Data management of on-line partial discharge monitoring using wireless sensor nodes integrated with a multi-agent system. 2008. Paper presented at International Conference on Intelligent Systems Applications to Power Systems, Toki Messe, Niigata, . https://doi.org/10.1109/ISAP.2007.4441665