AERONAUTICAL ENGINEERING MAINTENANCE PERIODICITY OPTIMIZATION WITH THE HELP OF SUBJECTIVE PREFERENCES DISTRIBUTIONS

Authors

  • Andriy Goncharenko National Aviation University

DOI:

https://doi.org/10.18372/2306-1472.71.11746

Keywords:

airworthiness, aeronautical engineering, alternative, damage intensity, degrading failure, extremal, failure intensity, maintenance periodicity, optimization, preferences distribution, subjective entropy maximum principle, variational problem

Abstract

Purpose: The goal of this research is to investigate the possibility of the objectively existing aeronautical engineering maintenance optimal periodicity determination in the different from the probabilistic methods way. In this paper there is a scientifically proven explanation for the mentioned above periodicity optimization with the help of subjective preferences distributions. Methods: The described approach proposes to consider functioning of an aeronautical engineering system with possible degrading failure on the multi-alternativeness basis. The objective effectiveness functions in such a case are intensities of damage and failure which corresponds with the set of considered operational alternatives. It allows obtaining the related subjective preferences functions implying the preferences proportionality to the alternative intensities of damage and failure. Results: The found expression for the optimized maintenance periodicity is the same as yielded by probabilistic methods and subjective preferences functions deliver the extremal (maximal) value to the operational-maintenance purpose functional. While this objective functional undergoes its maximum for optimal both canonical and proposed view preference distributions, the subjective entropy of the preference does not have any exremum in the vicinity at all. Discussion: The proposed approach model parameters interpretation, with the help of the carried out calculation experiments and plotting necessary diagrams, means that the damage and failure intensities are the self-measured subjective preferences obtained with the use of the subjective entropy maximum principle. They are expressed so in the terms of the subjective analysis theory.

Author Biography

Andriy Goncharenko, National Aviation University

Andriy Goncharenko (1962). Doctor of Engineering. Professor.

Aircraft Airworthiness Department, National Aviation University, Kyiv, Ukraine.

Education: Odessa Institute of Marine Engineers, Odesa, Ukraine (1984).

Research area: operation and control in active systems; flight safety; variational principles.

References

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Published

14-07-2017

How to Cite

Goncharenko, A. (2017). AERONAUTICAL ENGINEERING MAINTENANCE PERIODICITY OPTIMIZATION WITH THE HELP OF SUBJECTIVE PREFERENCES DISTRIBUTIONS. Proceedings of National Aviation University, 71(2), 51–56. https://doi.org/10.18372/2306-1472.71.11746

Issue

Section

AEROSPACE SYSTEMS FOR MONITORING AND CONTROL