• DocumentCode
    741572
  • Title

    Condition Monitoring, Diagnosis, Prognosis, and Health Management for Wind Energy Conversion Systems

  • Author

    Qiao, Wei ; Zhang, Pinjia ; Chow, Mo-Yuen

  • Author_Institution
    Department of Electrical and Computer Engineering, College of Engineering, University of Nebraska???Lincoln, Lincoln, NE, USA
  • Volume
    62
  • Issue
    10
  • fYear
    2015
  • Firstpage
    6533
  • Lastpage
    6535
  • Abstract
    The articles in this special section focus on condition monitoring, diagnosis, prognosis, and information management. These technologies and applications are effective means to reduce the downtime and the maintenance cost, and to improve the reliability, capacity factor, and lifespan of wind energy conversion systems. These important issues have drawn more and more attention during the last decade, and significant research effort is being taken by both the academia and the industry to advance the technologies for the condition monitoring, diagnosis, prognosis, and health management of wind energy conversion systems. This Special Section aims to provide a platform for academic and industrial communities to report the most recent findings in this field.
  • Keywords
    Condition monitoring; Energy conversion; Intelligent networks; Prognostics and health management; Sensors; Special issues and sections; Synchronous generators; Wind energy;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2015.2464785
  • Filename
    7247808