• DocumentCode
    2636388
  • Title

    Study on Intelligent Measurement Method for Non-Linear Parameters

  • Author

    Gu, Lichen ; Liu, Peijin

  • Author_Institution
    Sch. of Mech. & Electron. Eng., Xi´´an Univ. of Archit. & Technol., Xi´´an
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    286
  • Lastpage
    286
  • Abstract
    In order to maintain the equipments in good condition, we are looking for a better way to detect non-linear parameters on line, but the desire is not fulfilled often in actual situations because these parameters are difficult, or even impossible for on line measurement. Firstly, this paper describes a method to compute non-linear parameters using the theory of functional neural network, and then a mathematics relation between the secondary variable and primary variable of the soft-sensing mode is established, finally the experiment of the lifting moment of tower crane show the computing method is effective and reliable.
  • Keywords
    machinery; maintenance engineering; measurement; mechanical engineering computing; neural nets; functional neural network; intelligent measurement method; lifting moment; machinery equipment maintenance; online measurement; soft-sensing mode; tower crane; Computer networks; Cranes; Displacement measurement; Equations; Force measurement; Mechanical variables measurement; Neural networks; Parameter estimation; Poles and towers; Power measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.521
  • Filename
    4603475