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Journal of Applied Nonlinear Dynamics
Miguel A. F. Sanjuan (editor), Albert C.J. Luo (editor)
Miguel A. F. Sanjuan (editor)

Department of Physics, Universidad Rey Juan Carlos, 28933 Mostoles, Madrid, Spain


Albert C.J. Luo (editor)

Department of Mechanical and Industrial Engineering, Southern Illinois University Ed-wardsville, IL 62026-1805, USA

Fax: +1 618 650 2555 Email:

"Universal" Fitting Function for Complex Systems: Case of the Short Samplings

Journal of Applied Nonlinear Dynamics 6(3) (2017) 427--443 | DOI:10.5890/JAND.2017.09.009

Raoul R. Nigmatullin$^{1}$,$^{3}$, Wei Zhang$^{2}$ , Domenico Striccoli$^{4}$

$^{1}$ The Radioelectronic and Informative -Measurements Technics (R&IMT) Department, Kazan National Research Technical University (KNRTU-KAI), 10 Karl Marx str., 420011, Kazan, Tatarstan, Russian Federation

$^{2}$ Jinan University, College of Information Science and Technology, Department of Electronic Engineering, 510632, Shi-Pai, Guangzhou, Guangdong, China

$^{3}$ JNU-KNRTU(KAI) Joint Lab of FracDynamics and Signal Processing, JNU, Guangzhou, China

$^{4}$ Department of Electrical and Information Engineering (DEI), Via E. Orabona 4, 70125, Bari, Italy

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The authors suggest an effective scheme for quantitative description of complex systems, when the number of measurements is relatively small. It has a great importance for quantitative description of expensive and rare experiments when the volume of the sampling is small. They proposed a simple theory that is based on the previous results associated with conception of the intermediate model (IM). The previous results can be generalized and applicable for description of complex systems with short samplings when the influence of the uncontrollable factors becomes significant. As an example, we consider the description of acoustic signals recorded from turbine bearings. It can be proved that the real signals have self-similar (fractal) properties. It helps to compress the length of the initial files (number of data points N = 44100) at least in 88 times and reduced essentially the number of the fitting parameters. The obtained results can be used for diagnosis of different defects during the process of technical exploitation. Each failure has own acoustic “picture” i.e. the amplitude-frequency response (AFR) expressed in terms of the generalized Prony spectrum (GPS). This AFR can be used as a “specific” fingerprint for identification of the unexpected failure and preventing a possible breakdown.


The authors want to express their thanks for the support of academic exchanges from“High-and Experts Recruitment Program” of Guangdong province, China. The authors appreciate the support of the research project from the grant “3D Ultrasound magnetic locating of parturition monitoring by fractaldynamic signal processing” of the Guangdong Scientific Planning Program (No. 2014A050503046) in the frame of JNU-KNRTU(KAI) Joint-Lab. “FracDynamics and Signal Processing”. One of us (RRN) wants to express his acknowledgements to Prof. V. M. Larionov (Kazan Federal University) for the receiving of vibrational role bearings data that were used in this research.


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