• DocumentCode
    2928660
  • Title

    Improved Algorithm for Correlation Dimension in Vibration Signal Fault Diagnosis

  • Author

    Du, Biqiang ; Tang, Guiji ; Shi, Junjie

  • Author_Institution
    Mech. Eng. Dept., North China Electr. Power Univ., Baoding, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Abstract-Based on the fact that the fractal scaleless band and correlation dimension will gradually reach saturation and consensus along with the increase of the embedding dimension, an improved correlation dimension algorithm is proposed. The proposed algorithm, which is composed of complex auto-correlation method and curve-line-curve fitting method, can automate the calculation of reconstructing phase space parameters and fractal scaleless band, indeed correlation dimension of vibration signals. Case analysis results showed that the proposed algorithm can be used to calculate the correlation dimension of vibration signals automatically and accurately, without any prior knowledge of vibration signals.
  • Keywords
    acoustic signal processing; curve fitting; fault diagnosis; fractals; rotors; vibrations; complex auto-correlation method; correlation dimension algorithm; curve-line-curve fitting method; fractal scaleless band; mechanical equipments; reconstructing phase space parameter; rotor; vibration signal fault diagnosis; Algorithm design and analysis; Correlation; Delay; Delay effects; Fractals; Time series analysis; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748476
  • Filename
    5748476