A multi-agent fault detection system for wind turbine defect recognition and diagnosis

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Zaher, Ammar Samir Abd Elazim and McArthur, S.D.J. (2007) A multi-agent fault detection system for wind turbine defect recognition and diagnosis. In: IEEE Lausanne Powertech, 2007-07-01 - 2007-07-05, Lausanne. (http://dx.doi.org/10.1109/PCT.2007.4538286)

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Abstract

This paper describes the use of a combination of anomaly detection and data-trending techniques encapsulated in a multi-agent framework for the development of a fault detection system for wind turbines. Its purpose is to provide early error or degradation detection and diagnosis for the internal mechanical components of the turbine with the aim of minimising overall maintenance costs for wind farm owners. The software is to be distributed and run partly on an embedded microprocessor mounted physically on the turbine and on a PC offsite. The software will corroborate events detected from the data sources on both platforms and provide information regarding incipient faults to the user through a convenient and easy to use interface.

  • Item type:Conference or Workshop Item(Paper)
    ID code:12574
    Dates:
    Date
    Event
    2007
    Published
    Keywords:power generation economics , Power system economics , wind turbines , wind farms , sensor systems , artificial intelligence, degradation, fault detection, fault diagnosis, intelligent sensors, Electrical engineering. Electronics Nuclear engineering
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Strathprints Administrator
    Date deposited:18 Aug 2011 15:06
    Last modified:12 Mar 2012 10:55
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/12574
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