• DocumentCode
    1073244
  • Title

    Condition monitoring techniques for electrical equipment-a literature survey

  • Author

    Han, Y. ; Song, Y.H.

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Brunel Univ., London, UK
  • Volume
    18
  • Issue
    1
  • fYear
    2003
  • fDate
    1/1/2003 12:00:00 AM
  • Firstpage
    4
  • Lastpage
    13
  • Abstract
    Increasing interest has been seen in condition monitoring (CM) techniques for electrical equipment, mainly including transformer, generator, and induction motor in power plants, because CM has the potential to reduce operating costs, enhance the reliability of operation, and improve power supply and service to customers. Literatures are accumulated on developing intelligent CM systems with advanced practicability, sensitivity, reliability and automation. A literature survey is felt necessary with an aim to reflect the state of the art development in this important area. After introducing the concepts and functions of CM, this paper describes the popular monitoring methods for and research status of CM on transformer, generator, and induction motor, respectively. The paper also points out the potential benefits through the utilization of advanced signal processing and artificial intelligence techniques in developing novel CM schemes.
  • Keywords
    bibliographies; condition monitoring; electric generators; induction motors; machine testing; power transformer testing; advanced signal processing; artificial intelligence techniques; condition monitoring techniques; electrical equipment; generators; induction motors; literature survey; state of the art; transformers; Automation; Condition monitoring; Costs; Induction generators; Induction motors; Intelligent systems; Power generation; Power supplies; Power system reliability; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2002.801425
  • Filename
    1159890