• DocumentCode
    3293203
  • Title

    Embedded Sensor of Forecast Conveyer Belt Breaks

  • Author

    Guan, Yong ; Zhang, Jie ; Shang, Yuanyuan ; Wu, Minhua ; Liu, Xumin

  • Author_Institution
    Coll. of Inf. Eng., Capital Normal Univ., Beijing
  • Volume
    5
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    617
  • Lastpage
    621
  • Abstract
    On the basis of studying conveyer belt break forecast device using X-ray systematically, the mathematical model was found and set up. And it would promote us to research the device further and optimize parameters. Firstly, the mathematical model of conveyer belt break forecast device was built for the first time by "X-ray testing model". The method avoids thoroughly the impossibilities of obtaining the mathematical model by use of "basic particle convey function". The application of the model shows: it is scientific and precise to build mathematical model by this method and also easily realized. Secondly, the simulation of X-ray break forecast device was realized by using visual programming technology. All the theory and methods above are universal and also applicable to other X-ray no destructive test (NDT) system.
  • Keywords
    X-ray detection; belts; computerised instrumentation; conveyors; mathematical analysis; mechanical engineering computing; nondestructive testing; sensors; visual programming; X-ray nondestructive test system; basic particle convey function; embedded sensor; forecast conveyer belt breaks; visual programming technology; Belts; Educational institutions; Hardware; Knowledge engineering; Mathematical model; Software systems; Steel; Technology forecasting; X-ray detection; X-ray detectors; Conveyer belt; Embedded Sensor; Wire ropes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Jinan Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.643
  • Filename
    4666598