• DocumentCode
    135563
  • Title

    Research on chaotic dynamic characteristics of onload tap changers

  • Author

    Zhou, Xiaoxin ; Wang, F.H.

  • Author_Institution
    Dept. of Electr. Eng., Shanghai Jiaotong Univ., Shanghai, China
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Mechanical failure is the major failure type of on-load tap changers (OLTC) which makes the mechanical characteristic analysis of OLTC to be significant for fault diagnosis. Being different from traditional time and frequency domain analysis, vibration signals are analyzed from a new perspective in this paper based on the chaotic dynamic characteristic analysis. The key parameters of the analysis, namely the embedding dimension and delay time are obtained via chaotic methodology. Then the vibration signal is reconstructed successfully in multidimensional phase space and the maximum Lyapunov exponent is calculated to further verify the chaotic feature of vibration signal. Finally, the chaotic dynamic characteristics of OLTC vibration are illustrated with the Poincare section. Analyses of recorded data from field experiments shows that the apparent dynamic characteristic distinction is detected between vibrations of normal and fault condition which lays foundation for the effective OLTC fault diagnosis.
  • Keywords
    Lyapunov methods; Poincare mapping; chaos; failure (mechanical); on load tap changers; signal reconstruction; vibration measurement; OLTC vibrations; Poincare section; chaotic dynamic characteristics; delay time; embedding dimension; fault diagnosis; maximum Lyapunov exponent; mechanical failure; on-load tap changers; vibration signals; Chaos; Delay effects; Mutual information; Power system dynamics; Space vehicles; Springs; Vibrations; Chaotic dynamic characteristic; Fault diagnosis; Mechanical fault; On-load tap changer; Phase space reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939463
  • Filename
    6939463