• DocumentCode
    3285923
  • Title

    An embedded sensor validation system for adaptive condition monitoring of a wind farms

  • Author

    Bartzoudis, Nikolaos ; McDonald-Maier, Klaus

  • Author_Institution
    Univ. of Essex, Colchester
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    652
  • Lastpage
    659
  • Abstract
    Sensor validation plays a key role in automatic control and online monitoring of complex systems, ensuring high performance and guaranteeing safety. Even in cases of safe industrial processes, the unreliability of sensor measurements may lead to a degraded performance and a reduced system yield. It is therefore both economical and essential to validate the credibility of sensor measurements. Timely detection and accurate diagnosis of actual, or even impending, sensor failures enable appropriate remedial actions to be taken, such as rescheduling of maintenance, reconfiguration of corrupted control loops or initialization of emergency shutdown. This paper presents a sensor validation coprocessing element, which is being developed in a FPGA- based processing node. The goal of the processing node is to provide adaptive conditioning monitoring, for a sensor network operating within a wind farm.
  • Keywords
    computerised instrumentation; sensors; wind power plants; FPGA; adaptive condition monitoring; automatic control; complex systems; corrupted control loops; embedded sensor validation system; online monitoring; sensor measurements; sensor network; wind farm; Adaptive systems; Condition monitoring; Costs; Intelligent sensors; Power system reliability; Sensor phenomena and characterization; Sensor systems; Vehicle safety; Wind farms; Wind turbines; FPGAs; Sensor validation; adaptive systems; condition monitoring.; embedded systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Hardware and Systems, 2007. AHS 2007. Second NASA/ESA Conference on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    978-0-7695-2866-3
  • Type

    conf

  • DOI
    10.1109/AHS.2007.26
  • Filename
    4291981