Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
THE FLUCTUATION SPECTROSCOPY BASED ON THE SCALING PROPERTIES OF BETA-DISTRIBUTION: ANALYSIS OF TRIPLE PENDULUM DATA
Form of presentationArticles in international journals and collections
Year of publication2015
Языканглийский
  • Nigmatullin Ravil Rashidovich, author
  • Osokin Sergey Igorevich, author
  • Awrejcewicz Jan , author
  • Kudra Grzegorz , author
  • Wasilewski Grzegorz , author
  • Bibliographic description in the original language Nigmatullin Raoul R., Osokin Sergey I., Awrejcewicz Jan, The fluctuation spectroscopy based on the scaling properties of beta-distribution: Analysis of triple pendulum data//MECHANICAL SYSTEMS AND SIGNAL PROCESSING. - 2015. - Vol.52-53, Is.. - P.278-292.
    Annotation A new method of consideration and reduced analysis of long-time series is suggested. The method is based on the scaling (fractal) properties of the beta-distribution function that allows finding the stable parameters and reducing the long-time series containing 500000-5000000 data points to analysis of 10–20 stable parameters. The new procedure of clusterization with the usage of the generalized Pearson correlation function allows to take into account the influence of external factor and combine/separate different parameters into a cluster with respect to the influence of the qualitative external parameter considered. The method is rather flexible and can be applied to wide set of large data. As an example the triple pendulum data are considered. This method opens new possibilities in creation of the reduced database (specific fingerprints) of different long-time series for their comparison and subsequent analysis.
    Keywords detrended fluctuation analysis, fluctuation spectroscopy based on beta-distribution, chaotic data and their regularization, clusterization of statistically significant parameters based on the statistics of the fractional moments, the generalized Pearson correlation function
    The name of the journal MECHANICAL SYSTEMS AND SIGNAL PROCESSING
    URL https://doi.org/10.1016/j.ymssp.2014.06.011
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=141093&p_lang=2
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