• DocumentCode
    735597
  • Title

    Intelligent system for fault detection in wind turbines gearbox

  • Author

    Mesquita Brandao, R.F. ; Beleza Carvalho, J.A. ; Maciel Barbosa, F.P.

  • Author_Institution
    ISEP/IPP, Porto, Portugal
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    New generations of turbines have lower repair and maintenance costs than the previous generation. This is justified by the development of new components and materials. As the power of newer turbines is usually substantially larger, it is possible to get an economy of scale and lower maintenance costs per kW of rated power. This is simply because it is not needed to service a large turbine more often than a small one. New methods of earlier detection of faults are needed. The use of all information from SCADA (Supervisory Control and Data Acquisition) system can be useful, but it is necessary to develop tools to deal with bigger amount of information. Neural networks can help and turn possible new maintenance and operation schemes.
  • Keywords
    Generators; Monitoring; Neural networks; Preventive maintenance; SCADA systems; Wind turbines; Fault detection; Neural networks; SCADA systems; Wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2015 IEEE Eindhoven
  • Conference_Location
    Eindhoven, Netherlands
  • Type

    conf

  • DOI
    10.1109/PTC.2015.7232407
  • Filename
    7232407