A HYBRID APPROACH TO THE OPTIMAL AERONAUTICAL ENGINEERING MAINTENANCE PERIODICITY DETERMINATION
DOI:
https://doi.org/10.18372/2306-1472.72.11980Keywords:
airworthiness, aeronautical engineering, damage intensity, degrading failure, entropy extremization principle, extremal, failure intensity, hybrid functions distribution, maintenance periodicity, optimization, option, restoration intensityAbstract
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 entirely probabilistic methods way. In this paper there is a scientifically proven explanation for the mentioned above periodicity optimization with the help of specially introduced hybrid optional-probabilistic approach functions distributions. Methods: The described hybrid approach proposes to combine the probabilistic method, applied up to effectiveness functions determination, with following compilation a variational-optional functional, as well as consider functioning of an aeronautical engineering system, with possible degrading failures and restorations from the damaged into upstate, on the multi-optional basis. Results: It allows obtaining the wanted optimal periodicities sidestepping the related states probabilities determination and their further extremization. The optional objective effectiveness functions in such a case are the roots of the characteristic equation for the corresponding states probabilities Erlang differential equations system, which relates with the set of the considered operational options. Discussion: The revolutionary points here are in the methods bringing the described results. The methods are also applicable to the roots for the Laplace transformations matrix parameter. The preliminary considered case discussed in the previous paper happened to be a particular case of the presented research which means a step of generalization and evolution of entropy extremization principles. The conducted computer simulation proves that the roots are the self-measured special hybrid optional-probabilistic functions.
References
Smirnov N. N., et al. (1990) Tekhnicheskaya ekspluatatsyya letatel’nykh apparatov [Technical Operation of Aircraft]. Moscow, Russia, Transport Publ., 423 p. (in Russian)
Wild T. W., Kroes M. J. (2014) Aircraft Powerplants. 8th ed., New York, New York, USA, McGraw-Hill, Education, 756 p.
Kroes M. J., Watkins W. A., Delp F. Sterkenburg R. (2013) Aircraft Maintenance and Repair. 7th ed., New York, New York, USA, McGraw-Hill, Education, 736 p.
Kasianov V. (2013) Subjective Entropy of Preferences. Subjective Analysis: Monograph, Warsaw, Poland: Institute of aviation Publ., 644 p.
Zaporozhets O., Tokarev V., Attenborough K. (2011) Aircraft Noise. Assessment, prediction and control. Glyph International, Tailor and Francis, 480 p.
Dmitriyev S., Koudrin A., Labunets A., Kindrachuk M. (2005) Functional Coatings Application for Strengthening and Restoration of Aviation Products. Aviation, vol. 9, no. 4, pp. 39-45.
Solomentsev O., Zaliskyi M., Zuiev O. (2016) Estimation of Quality Parameters in the Radio Flight Support Operational System. Aviation, vol. 20, no. 3, pp. 123–128.
Kasyanov V., Szafran K. (2015) Some hybrid models of subjective analysis In the theory of active systems. Transactions of the Institute of Aviation, no. 3, pp. 27-31. (ISSN: 0509-6669 240)
Tamarin Y. A. (2002) Protective Coatings for Turbine Blades. Ohio, USA, ASM International, Materials Park, 247 p. (ISBN: 0-87170-759-4)
Pallos K. J. (2001) Gas Turbine Repair Technology. Atlanta, GA, USA, GE Energy Services Technology, GE Power Systems, 30 p. (GER-3957B)
Goncharenko A. V. (2016a) Optimal managerial and control values for active operation. Electronics and control systems, no. 3(49), pp. 112-115. (ISSN: 1990-5548)
Goncharenko A. V. (2016b) Several Models of Artificial Intelligence Elements for Aircraft Control / A. V. Goncharenko // 2016 IEEE 4th International Conference “Methods and Systems of Navigation and Motion Control (MSNMC)” Proceedings. Section G. Aircraft Control Systems with Elements of Artificial Intellect. October, 18-20, 2016, Kyiv, Ukraine. – К.: Освіта України, 2016. – pp. 224-227.
Goncharenko A. V. (2015) Applicable Aspects of Alternative UAV Operation / A.V. Goncharenko // 2015 IEEE 3rd International Conference “Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)” Proceedings. Section D. Applied Aspects of UAV. October, 13-15, 2015, Kyiv, Ukraine. – К.: Освіта України, 2015. – pp. 316-319.
Goncharenko A. V. (2014a) Navigational Alternatives, Their Control and Subjective Entropy of Individual Preferences / A.V. Goncharenko // 2014 IEEE 3rd International Conference “Methods and Systems of Navigation and Motion Control (MSNMC)” Proceedings. Section A. Methods, Algorithms and Means of Navigation and Motion Control Systems Computer-Aided Design. October, 14-17, 2014, Kyiv, Ukraine. – К.: Освіта України, 2014. – pp. 99-103.
Goncharenko A. V. (2014b) Some Identities of Subjective Analysis Derived on the Basis of the Subjective Entropy Extremization Principle by Professor V. A. Kasianov. Automatic Control and Information Sciences, vol. 2, no. 1. pp. 20-25. doi: 10.12691/acis-2-1-4.
