• DocumentCode
    3319863
  • Title

    The Application of Wavelet Threshold De-noising in the Aluminum Reduction Cell Electrolyte Temperature Data

  • Author

    Ren, Aili ; Li, Jinhong

  • Author_Institution
    Inf. Eng. Sch., North China Univ. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    28-29 Dec. 2009
  • Firstpage
    239
  • Lastpage
    241
  • Abstract
    The importance of the aluminum reduction cell´s electrolytic temperature, the element principles of the wavelet threshold de-noising and advantages and disadvantages of the various thresholds are introduced in this paper. And then, the noise from the electrolytic temperatures of the aluminum reduction cell is eliminated by experiments and it provides a reliable data.
  • Keywords
    aluminium industry; data mining; electrolytes; production management; wavelet transforms; aluminum reduction cell; electrolyte temperature data; wavelet threshold denoising; Aluminum; Application software; Computer science; Data engineering; Electrochemical processes; Frequency; Noise reduction; Production; Signal resolution; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research Challenges in Computer Science, 2009. ICRCCS '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3927-0
  • Electronic_ISBN
    978-1-4244-5410-5
  • Type

    conf

  • DOI
    10.1109/ICRCCS.2009.68
  • Filename
    5401244