Information technology of diagnostics of electric motor condition using Volterra models

Authors

  • Светлана Николаевна Григоренко Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044, Ukraine
  • Сергей Витальевич Павленко Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044, Ukraine
  • Виталий Данилович Павленко Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044, Ukraine
  • Александр Алексеевич Фомин Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2014.26310

Keywords:

information technologies, diagnostics, electric motors, non-linear dynamic models, identification, Volterra models

Abstract

The considerable growth of researches on the nonlinear systems based on the Volterra mathematical apparatus of integro-power series was generated by the necessity of using models of real objects of control and operation of enhanced accuracy, totally different from linear models. Moreover, they allow to develop by analogy the created methodological base for solving tasks of identification and diagnosis of dynamic systems at an entirely new level. This research provides the information diagnostic technology of motor operating conditions, which is based on the methods of non-parametric identification of control objects (CO) and building the decision optimal classification rules in the diagnostic feature space. The non-linear dynamic models in the form of the Volterra multidimensional kernels are used as the diagnostic information source, which are identified according to the results of the experimental studies of the control objects “input-output”. The obtained with the help of simulation modeling results of studying the informativeness of the diagnostic features formed on the basis of the Volterra kernels allow to make a conclusion on the effective use of non-parameter dynamic models in the form of the Volterra series for diagnosing electric motors.

Author Biographies

Светлана Николаевна Григоренко, Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044

Engineer

Department of Computerized Control Systems

Сергей Витальевич Павленко, Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044

Engineer

Department of Informatics and Mathematical Methods of Information Systems Protection

Виталий Данилович Павленко, Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044

DSc, Professor

Department of Computerized Control Systems

Александр Алексеевич Фомин, Odessa National Polytechnical University Shevchenko av., 1, Odessa, Ukraine, 65044

PhD, Associate Professor

Department of Computerized Control Systems

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Published

2014-07-24

How to Cite

Григоренко, С. Н., Павленко, С. В., Павленко, В. Д., & Фомин, А. А. (2014). Information technology of diagnostics of electric motor condition using Volterra models. Eastern-European Journal of Enterprise Technologies, 4(11(70), 38–43. https://doi.org/10.15587/1729-4061.2014.26310

Issue

Vol. 4 No. 11(70) (2014): Mathematical and information support of computer-integrated control systems

Section

Mathematical and information support of computer-integrated control systems

License

Copyright (c) 2014 Светлана Николаевна Григоренко, Сергей Витальевич Павленко, Виталий Данилович Павленко, Александр Алексеевич Фомин

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