Estimate the maximum allowable time of application complex object on purpose

System analysis, control and data processing


Аuthors

Zakovryashin A. I.*, Koshelkova L. V.

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

*e-mail: zai999@mail.ru

Abstract

Efficiency of application of modern technology can be significantly enhanced through the use of elements of artificial intelligence. Technical condition of a complex object depends on the States of its essential parameters. The availability of diagnostic tools allows you to collect and process measurement information in the parameters object. Solved the problem of individual forecasting and smoothing of the trajectory parameters on the basis of joint processing of the measurement and a priori information. When processing data, we used the method of least squares on the small sample sizes. Individual prediction of relevant parameters allows us to estimate the time points for which the probability of the option beyond the boundaries of the tolerance field reaches a specified level. Joint processing of the measurement and a priori information allows to assess the maximum allowable time to use the object as intended.

If you have multiple of the same objects with the same maximum time of application is their ranking. dual performance capacity. The ranking of objects is performed on the residual performance capacity. The supply of object the estimated by the quantitative estimation of the technical state. The obtained results can find application in the on-Board operative advising expert system as well as the ranking of the same objects before applying them to their destination.

Keywords:

complex object, significant parameters of the object, prediction of small sample sizes the maximum application time facility appointment ranking the same objects by the residual performance capacity

References

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