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Stephen McArthur
Researcher at University of Strathclyde
Publications - 216
Citations - 5672
Stephen McArthur is an academic researcher from University of Strathclyde. The author has contributed to research in topics: Condition monitoring & Intelligent decision support system. The author has an hindex of 34, co-authored 208 publications receiving 5199 citations. Previous affiliations of Stephen McArthur include Durham University.
Papers
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Journal ArticleDOI
Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges
Stephen McArthur,Euan Davidson,Victoria M. Catterson,Aris Dimeas,Nikos Hatziargyriou,Ferdinanda Ponci,Toshihisa Funabashi +6 more
TL;DR: The first part of a two-part paper that has arisen from the work of the IEEE Power Engineering Society's Multi-Agent Systems (MAS) Working Group as mentioned in this paper examines the potential value of MAS technology to the power industry.
Journal ArticleDOI
Multi-Agent Systems for Power Engineering Applications—Part II: Technologies, Standards, and Tools for Building Multi-agent Systems
Stephen McArthur,Euan Davidson,Victoria M. Catterson,Aris Dimeas,Nikos Hatziargyriou,Ferdinanda Ponci,Toshihisa Funabashi +6 more
TL;DR: The problem of interoperability between different multi-agent systems and proposes how this may be tackled and the various options available are described and recommendations on best practice are made.
Journal ArticleDOI
Online wind turbine fault detection through automated SCADA data analysis
TL;DR: The results presented demonstrate that the interpretation techniques can provide performance assessment and early fault identification, thereby giving the operators sufficient time to make more informed decisions regarding the maintenance of their machines.
Journal ArticleDOI
The design of a multi-agent transformer condition monitoring system
TL;DR: This paper describes how a multi-agent system (MAS) for transformer condition monitoring has been designed to employ the data generated by the ultra high frequency (UHF) monitoring of partial discharge activity.
Journal ArticleDOI
Applying multi-agent system technology in practice: automated management and analysis of SCADA and digital fault recorder data
TL;DR: The authors discuss the experience of developing a multi-agent system that is robust enough for continual online use within the power industry.