• DocumentCode
    3279748
  • Title

    An adaptive processing node architecture for validating sensors reliability in a wind farm

  • Author

    Bartzoudis, Nikolaos ; McDonald-Maier, Klaus

  • Author_Institution
    Univ. of Essex, Colchester
  • fYear
    2007
  • fDate
    9-10 Aug. 2007
  • Firstpage
    83
  • Lastpage
    86
  • Abstract
    In industrial process monitoring, it is very important to distinguish between a sensor failure and a system failure. This paper presents a sensor validation co-processing element embedded in a processing node, which provides proactive condition monitoring of a wind farm. The sensor validation framework is designed for monitoring complex equipment systems; this is achieved by validating the sensor data, associating a degree of validity with each measurement, identifying faulty sensors and detecting incipient sensor failures. The methodology uses information from a sensor individually, information from the sensor as part of a group of sensors, sensor properties and attributes and the immediate history of the process that is being monitored.
  • Keywords
    adaptive signal processing; failure analysis; fault diagnosis; process monitoring; sensors; wind power plants; adaptive processing node architecture; industrial process monitoring; proactive condition monitoring; sensor data validation; sensor failure; sensor fault; sensor reliability validation; system failure; wind farm; Computerized monitoring; Condition monitoring; Fault detection; Fault diagnosis; Hardware; Intelligent sensors; Neural networks; Sensor phenomena and characterization; Sensor systems; Wind farms; FPGAs; adaptive systems.; reliability; sensors validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-inspired, Learning, and Intelligent Systems for Security, 2007. BLISS 2007. ECSIS Symposium on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    0-7695-2919-4
  • Type

    conf

  • DOI
    10.1109/BLISS.2007.35
  • Filename
    4290944