• DocumentCode
    3092515
  • Title

    Application of Mathematics Morphological De-nosing in Fault State Identifying of Bearing

  • Author

    Guan Zhen-zhen ; Huo Qian

  • Author_Institution
    Ordnance Eng. Coll., Shijiazhuang, China
  • fYear
    2010
  • fDate
    17-19 Sept. 2010
  • Firstpage
    545
  • Lastpage
    548
  • Abstract
    In order to resolve the problem of extraction of impulsive feature from the strong noise background, a differential filter de-noising method base on mathematics morphology is put forward. Numerical simulation shows that the proposed method can suppress noise and extract the impulse component in signals effectively, this method is applied on the experiment of bearing with inner circle fault and out circle fault, the results show that the fault impulse signal is also found, which makes a contribute to the fault diagnosis of bearing.
  • Keywords
    fault diagnosis; mathematical morphology; rolling bearings; bearing; fault diagnosis; fault impulse signal; mathematics morphological de-nosing; Fault diagnosis; Feature extraction; Frequency domain analysis; Mathematics; Noise; Noise reduction; Time domain analysis; Differential Filter; Fault Diagnosis; Mathematic Morphological;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8043-2
  • Electronic_ISBN
    978-0-7695-4180-8
  • Type

    conf

  • DOI
    10.1109/PCSPA.2010.137
  • Filename
    5636091