The industrialisation of a multi-agent system for power transformer condition monitoring

V.M. Catterson, S.D.J. McArthur

Research output: Contribution to conferencePaper

Abstract

Electrical utilities have a pressing need for help with asset management, particularly for large plant items such as transformers. Transformer aging, problems and faults are intimated by partial discharge activity, which can be categorised into defect types. This can be achieved by a condition monitoring system using multiple intelligent classification techniques to provide accurate diagnoses. On-line operation of this system will remove the data processing burden from personnel, allowing for concentration on alleviating the fault's effects rather than interpreting raw data.
Original languageEnglish
Pages165-178
Number of pages13
DOIs
Publication statusPublished - 2004
Event24th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2004) - Cambridge, United Kingdom
Duration: 12 Dec 200415 Dec 2004

Conference

Conference24th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI-2004)
CountryUnited Kingdom
CityCambridge
Period12/12/0415/12/04

Keywords

  • industrialisation
  • multi-agent system
  • power transformer
  • condition monitoring

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