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PROBABILISTIC ESTIMATES OF OPERATION OF DYNAMIC SYSTEMS SPECIFIED BY A LARGE AMOUNT OF PARAMETERS

https://doi.org/10.21683/1729-2646-2016-16-1-14-23

Abstract

This article offers an algorithm of probabilistic estimation of reliability of multi-parameter dynamic systems. Probabilistic estimates are based on multivariable distributions statistically received from the results of experimental testing. For this purpose we consider two separate cases – direct and indirect measurement of parameters. Reliability of dynamic systems is also considered in terms of validation of statistical hypotheses. The statistics used to validate hypotheses are based on the assessment of distribution parameter received experimentally.

About the Authors

A. G. Varzhapetyan

Russian Federation


P. V. Gluschenko

Russian Federation


Y. A. Gusman

Russian Federation


Y. A. Pichugin

Russian Federation


References

1. Gluschenko P.V. Technical diagnostics: Modeling in Diagnosis and Prognosis in the Status of Technical Objects./P.V. Gluschenko – 3rd issue – М.:Vuzovskaya kniga, 2013. – 248 p.

2. Antokhina Y.А., Varzhapetyan А.G., Gluschenko P.V.// Improvement of quality of dynamic objects functioning / SPb, Economy and management No.4, 2014, p. 49-56.

3. Pichugin Y.А. Probabilistic assessment of risk and reliability in economy // Scientific session SUAI: Book of reports: in 3 parts. P1. Technical sciences / SPb.: SUAI, SPb., 2013. –221 p. (P. 195-196).

4. Pichugin Y.А. Check of complex statistical hypothesis in linear regression analysis // Scientific session SUAI: Book of reports: in 3 parts. P1. Technical sciences/ SPb.: SUAI, SPb., 2014. – 310 p. (P. 275-277).

5. Pichugin Y.А. Geometric aspects of check of complex statistical hypotheses in mathematical modeling // NTV SPbSPU. Physical and mathematical sciences. No.2 (218)2015. P. 123-137.


Review

For citations:


Varzhapetyan A.G., Gluschenko P.V., Gusman Y.A., Pichugin Y.A. PROBABILISTIC ESTIMATES OF OPERATION OF DYNAMIC SYSTEMS SPECIFIED BY A LARGE AMOUNT OF PARAMETERS. Dependability. 2016;16(1):14-23. https://doi.org/10.21683/1729-2646-2016-16-1-14-23

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ISSN 1729-2646 (Print)
ISSN 2500-3909 (Online)