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An agent-based anomaly detection architecture for condition monitoring

McArthur, S.D.J. and Booth, C.D. and McDonald, J.R. (2005) An agent-based anomaly detection architecture for condition monitoring. IEEE Transactions on Power Systems, 20 (4). pp. 1675-1682. ISSN 0885-8950

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Abstract

Online diagnostics and online condition monitoring are important functions within the operation and maintenance of a power plant. When there is knowledge of the relationships between the raw data and the underlying phenomena within the plant item, typical intelligent system-based interpretation algorithms can be implemented. Increasingly, health data is captured without any underlying knowledge concerning the link between the data and their relationship to physical and electrical phenomena within the plant item. This leads to the requirement for dynamic and learning condition monitoring systems that are able to determine the expected and normal plant behavior over time. This paper describes how multi-agent system technology can be used as the underpinning platform for such condition monitoring systems. This is demonstrated through a prototype multi-agent anomaly detection system applied to a 2.5-MW diesel engine driven alternator system.

Item type: Article
ID code: 3568
Keywords: alternators, condition monitoring, decision support systems diesel engines, electricity supply industry, knowledge based systems, maintenance engineering, multi-agent systems power plants, power system measurement, Electrical engineering. Electronics Nuclear engineering, Energy Engineering and Power Technology, Electrical and Electronic Engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Professional Services > Corporate Services Directorate
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 13 Jun 2007
    Last modified: 04 Sep 2014 13:06
    URI: http://strathprints.strath.ac.uk/id/eprint/3568

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