APPLICATION OF BLOW-UP THEORY TO DETERMINE THE SERVICE LIFE OF SMALL-SERIES AND SINGLE ITEMS

Authors

  • V. V. Nahornyi Sumy State University, Sumy, Ukraine, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2023-3-19

Keywords:

life time, transport and dump bridge, small-series products, log-periodic component, direct and indirect control methods, blow-up theory

Abstract

Context. The actual task of developing a method for determining the service life of small-series and single items based on the blow-up modes theory has been solved.

Objective. Application of the blow-up theory in conditions where there are no statistical data on the dynamics of behaviour during the operation of small-series and single items.

Method. To determine the service life of a particular product manufactured in large series, information obtained for a set of similar products of the same type is used. This information is based on numerous experiments, mathematical statistics and probability theory. When operating small-series and single items, such information is not available. In this case, it is necessary to determine the individual resource of an individual product based on the results of an analysis of its behaviour in the past. The method presented in the article is based on the application for such an analysis of the method used when considering systems operating in blow-up mode. The essence of the technique is to extract the periodic component from the temporal realization of the control parameter. This component is modelled by a Fourier series consisting of log-periodic functions. The main coefficients of these functions are the time equal to the operating time of the product until the end of its service life.

Results. The method under consideration has been successfully tested in determining the service life of the transport-dumping bridge, related to products that are actually single items.

Conclusions. An analysis of the experimental data on the behaviour of the load-bearing elements of a transport-dump bridge confirms the assumption about the behaviour of the bridge structure as a system operating in a blow-up mode. This made it possible to determine in advance the service life of the power units of the bridge and obtain the result directly in units of time, without requiring information about the maximum permissible value of the controlled parameter to obtain this information.

For the first time, the possibility is shown to consider the behaviour of small-series and single items as dynamic systems operating in a blow-up mode.

Practical significance. A solution to the topical problem of determining the service life of small-series and single items is proposed.

Author Biography

V. V. Nahornyi, Sumy State University, Sumy, Ukraine

PhD, Associate Professor, Associate Professor of the Information Technologies Department

References

Sornette D. Why Stock Markets Crash: Critical Events in Complex Financial Systems. Princeton, N.J., Princeton U. Press, 2003, 421 p. DOI: 10.1063/1.1712506

Three Ways to Estimate Remaining Useful Life for Predictive Maintenance [Elektronnij resurs]. Rezhim dostupu: https://www.mathworks.com/company/newsletters/articles/t hree-ways-to-estimate-remaining-useful-life-for-predictivemaintenance.html

Klosterman R. E., Brooks K., Drucker J. et al. Planning support methods: Urban and regional analysis and projection. Lanham, Rowman & Littlefield Publishers, 2018, 298 p. ISBN 978-1-4422-2028-7.

Lad B. K., Shrivastava D., Kulkarni M. S. Machine Tool Reliability. H, John Wiley & Sons Inc, 2016, 336 p. ISBN 978-1-1190-3860-3.

Nahornyi V. V., Lavrov E. A., Chybiriak Y. I. Forecasting individual resource of technical systems, Radio Electronics, Computer Science, Control, 2019, № 1, pp. 48–56. DOI: 10.15588/1607-3274-2019-1-5

Cempel C., Natke H. G., Yao J. T. P. Symptom reliability and hazard for systems condition monitoring, Mechanical Systems and Signal Processing, 2000, Vol. 14, № 3, pp. 495–505. DOI: 10.1006/mssp.1999.1246

Zhou H., Farsi M., Harrison A., Parlikad A. K., Brintrup A. Civil aircraft engine operation life resilient monitoring via usage trajectory mapping on the reliability contour, Reliability Engineering & System Safety, 2023, Vol. 230, pp. 1–29. DOI: 10.1016/j.ress.2022.108878

Zaloga V. A., Nahornyi V. M., Nahornyi V. V. Control of the dynamic state of a metalworking technological system and forecasting its resource : monograph. Sumy, SSU, 2016, 242 p. ISBN 978-966-657-604-3.

Panda A., Nahornyi V. Forecasting catastrophic events in technology, nature and medicine : monograph. Berlin, Springer, 2021, 97 p. ISBN 978-3-030-65327-9. DOI: 10.1007/978-3-030-65328-6

Ding D. M. Zhang, X. Pan, M. Yang Modelling Extreme Events in Time Series Prediction, KDD ‘19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. New York, Association for Computing Machinery, 2019, pp. 1114–1122. DOI: 10.1145/3292500.3330896

Myasnikova N. V., Beresten’ M. P., Priymak A. A. A “fast” extreme filtering algorithm, University proceedings. Volga region. Engineering sciences, 2020, Vol. 53, № 1, pp. 70– 77. DOI: 10.21685/2072-3059-2020-1

Sornette D. Predictability of catastrophic events: Material rupture, earthquakes, turbulence, financial crashes, and human birth, PNAS, 2002, Vol. 230, №1, pp. 2522–2529. DOI: 10.1073/pnas.022581999

Sholomitsky A. A., Nahornyi V. V. Observation of deformations, assessment and forecasting of the technical condition of lifting and transport equipment, Metallurgical processes and equipment, 2009,Vol. 17, № 3, pp. 31–36

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Published

2023-10-14

How to Cite

Nahornyi, V. V. (2023). APPLICATION OF BLOW-UP THEORY TO DETERMINE THE SERVICE LIFE OF SMALL-SERIES AND SINGLE ITEMS . Radio Electronics, Computer Science, Control, (3), 196. https://doi.org/10.15588/1607-3274-2023-3-19

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Section

Control in technical systems