• DocumentCode
    1627816
  • Title

    Data reduction algorithm for remote monitoring system base on ubiquitous sensor network

  • Author

    Zhang, Cong Yi ; Yook, Eysu ; Kim, Sujin ; Kim, Sung-Ho

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Kunsan Nat. Univ., Kunsan, South Korea
  • fYear
    2009
  • Firstpage
    2030
  • Lastpage
    2034
  • Abstract
    In the modern life, machines are used for various areas in industries as the advance of science and industrial development has proceeded. In many machines, the rotating machines play an important role in many processes. Therefore, the development of monitoring system for rotating machines is required. The ubiquitous sensor network is drawing a lot of attention as a method for realizing a ubiquitous society. It collects environmental information to realize a variety of functions, through a countless number of compact wireless nodes that are located everywhere to form an ad-hoc arrangement, which does not require a communication infrastructure. In this work, a data reduction algorithm for remote wireless monitoring system based on USN which can be easily applied to previously built factories is proposed. To verify the feasibility of the proposed scheme, some simulation studies are executed.
  • Keywords
    electric machines; wireless sensor networks; compact wireless nodes; data reduction algorithm; remote wireless monitoring system; rotating machines; ubiquitous sensor network; Condition monitoring; Data engineering; Electronics industry; Production facilities; Remote monitoring; Rotating machines; Sensor systems; Signal processing; Signal processing algorithms; Vibration measurement; Remote monitoring system; Rotating machine; Ubiquitous sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
  • Conference_Location
    Jeju Island
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-3596-8
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2009.5277279
  • Filename
    5277279