Simulation and Software for Diagnostic Systems

  • Vitalii P. BabakEmail author
  • Serhii V. Babak
  • Mykhailo V. Myslovych
  • Artur O. Zaporozhets
  • Valeriy M. Zvaritch
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 281)


In this article the methods and algorithms for simulation of noise and rhythm signals in the diagnostic systems are analyzed. Values of theoretical and experimental moments of studied models and their estimates are obtained. Also the realizations of simulated processes (stationary and periodically correlated), their correlation functions estimates and spectral densities estimates are obtained. The general structure of diagnostic systems software are proposed. Software structure of the block of functional load of statistical data processing is realized. The architecture of user interface formation, necessary settings installation, operating modes selection and indication of results are shown for control unit. Features of the use of neural networks in diagnostic systems based on ART-2 are considered.


Noise signals Rhythm signals Computer simulation Diagnostic systems software Neural networks 


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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Vitalii P. Babak
    • 1
    Email author
  • Serhii V. Babak
    • 2
  • Mykhailo V. Myslovych
    • 3
  • Artur O. Zaporozhets
    • 4
  • Valeriy M. Zvaritch
    • 5
  1. 1.Institute of Engineering Thermophysics of NAS of UkraineKyivUkraine
  2. 2.Committee on Education, Science and Innovation of Verkhovna Rada of UkraineKyivUkraine
  3. 3.Department of Theoretical Electrical EngineeringInstitute of Electrodynamics of NAS of UkraineKyivUkraine
  4. 4.Department of Monitoring and Optimization of Thermophysical ProcessesInstitute of Engineering Thermophysics of NAS of UkraineKyivUkraine
  5. 5.Department of Theoretical Electrical EngineeringInstitute of Electrodynamics of NAS of UkraineKyivUkraine

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