Mathematical model building gives the possibility to recognize mathematical dependence for different parameters of actual phenomena. The model building in aviation plays a significant role, because it directly effects on safety of flights. Such procedure in aviation is implemented in the operation and maintenance system. The aim of operation system is to increase the efficiency of intended use of equipment based on the organization of decision-making support using results of statistical data processing. The data source is aviation equipment. There are two types of observed data during equipment condition monitoring: reliability parameters and diagnostic variables. This paper presents an approach of mathematical model building for diagnostic variables using segmented regression with optimization of breakpoint abscissa.

Language:

English

Type

Refereed Conference Proceedings

Firstpage Number

160

Lastpage Number

164

Keywords

operation system, maintenance, model building, regression analysis, breakpoint

DOI
10.1109/CSIT56902.2022.10000556

Publisher

17th International Conference on Computer Sciences and Information Technologies (CSIT) of IEEE

Year of publishing

2022

Citation

DSTU

Zaliskyi M., Solomentsev O., Larin V., Averyanova Yu., Kuzmenko N.S., Ostroumov I.V., Sushchenko O., Bezkorovainyi Y. Model Building for Diagnostic Variables during Aviation Equipment Maintenance. 17th International Conference on Computer Sciences and Information Technologies (CSIT) of IEEE. 2022. P. 160-164. DOI: 10.1109/CSIT56902.2022.10000556.

IEEE

M. Zaliskyi, O. Solomentsev, V. Larin, Yu. Averyanova, N.S. Kuzmenko, I.V. Ostroumov, et al., "Model Building for Diagnostic Variables during Aviation Equipment Maintenance," 17th International Conference on Computer Sciences and Information Technologies (CSIT) of IEEE, November 2022, pp. 160-164, doi:10.1109/CSIT56902.2022.10000556.

Harvard

Zaliskyi M., Solomentsev O., Larin V., Averyanova Yu., Kuzmenko N.S., Ostroumov I.V., Sushchenko O., and Bezkorovainyi Y., 2022, 11. Model Building for Diagnostic Variables during Aviation Equipment Maintenance. In 17th International Conference on Computer Sciences and Information Technologies (CSIT) of IEEE (pp. 160-164).

Springer

Zaliskyi, M., Solomentsev, O., Larin, V., Averyanova, Yu., Kuzmenko, N.S., Ostroumov, I.V., Sushchenko, O., Bezkorovainyi, Y.: Model Building for Diagnostic Variables during Aviation Equipment Maintenance. In: 17th International Conference on Computer Sciences and Information Technologies (CSIT) of IEEE, pp. 160-164 (2022). doi:10.1109/CSIT56902.2022.10000556.

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