• DocumentCode
    3358175
  • Title

    Rolling bearing fault diagnosis study based on chaos and fractal theory

  • Author

    Jun, Pei ; Fengxing, Zhou ; Zhihua, Meng ; Bing, Zhou

  • Author_Institution
    Eng. Res. Center of Metall. Autom. & Meas. Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    5295
  • Lastpage
    5297
  • Abstract
    Chaos and fractal theory has its particular characteristic in posting essences of things and it´s sensitive to complex machine system forepart faults. The fault diagnosis and prediction of complicated mechanical systems are researched by using the fractal and chaos theory. Judging by the kinetic characteristics of mechanical equipment have changed to judge whether the fault exists or not. The frequency spectrum is analyzed to determine the reason and the locality of the fault, further, in high-speed wire rolling mill of fault detection and diagnosis of achieved good effect.
  • Keywords
    Chaos; Fault detection; Fault diagnosis; Fractals; Frequency; Kinetic theory; Mechanical systems; Milling machines; Rolling bearings; Wire; Fault Diagnosis; Fractal and Chaos; Gearbox and Bearing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5536161
  • Filename
    5536161