A multi-optional hybrid functions entropy as a tool for transportation means repair optimal periodicity determination


The paper considers theoretical explanation and construction of some mathematical models of a transportation mean operational process in reference to maintenance optimal periodicity. The important finding is that the objectively existing engineering transportation means maintenance optimal periodicity is determined in the different from the probabilistic methods way. There is a scientifically proven explanation for the mentioned above periodicity optimization with the help of the specially introduced hybrid-optional effectiveness functions distribution. The developed doctrine uses the entropy paradigm conditional extremization approach. This contribution allows obtaining the wanted optimal periodicities sidestepping the related states probabilities determination and their further extremization. The essential breakthrough of the developed doctrine is that the optional objective effectiveness functions, in such a case, are the corresponding combinations of the intensities of the studied system’s possible transitions from state to state, which relates with the set of the considered operational options. Corresponding limit solutions for the zero-to-zero ratio indeterminate forms are analyzed. Theoretical speculations are illustrated with the example calculation experiments. The necessary diagrams are plotted.

Keyword : transportation mean, maintenance, optimal periodicity, hybrid-optional function, entropy, probability, extremization, multi-optional situation

How to Cite
Goncharenko, A. “A Multi-Optional Hybrid Functions Entropy As a Tool for Transportation Means Repair Optimal Periodicity Determination”. Aviation, Vol. 22, no. 2, Oct. 2018, pp. 60-66, doi:10.3846/aviation.2018.5930.
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Oct 16, 2018
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This work is licensed under a Creative Commons Attribution 4.0 International License.


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