Using Mixture Distributions for the Analysis and Estimation of Ultra-Low Risks in the Problems of Ensuring the Safety of Automatic Aircraft Landing
- Authors: Aleksandrovskaya L.N.1, Kerber O.B.2, Iosifov P.A.1, Pankina G.V.3, Boitsov B.V.1
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Affiliations:
- Moscow Aviation Institute
- Moscow Institute of Electromechanics and Automatics (MIEA)
- Higher School of Economics
- Issue: Vol 62, No 2 (2019)
- Pages: 199-205
- Section: Flight Dynamics and Control of Flight Vehicles
- URL: https://journals.rcsi.science/1068-7998/article/view/230914
- DOI: https://doi.org/10.3103/S1068799819020041
- ID: 230914
Cite item
Abstract
The paper reviews the results of assessing the ultra-low risks based on empirical functions of the probability distribution of the automatic aircraft landing accuracy, approximated by a mixture of distributions. Based on the outcomes obtained, the resultant approach can be recommended for resolving a wide range of problems of the validation of safety requirements including the case to create the evidential base in certification of automatic landing.
About the authors
L. N. Aleksandrovskaya
Moscow Aviation Institute
Author for correspondence.
Email: kirillinav@mati.ru
Russian Federation, Volokolamskoe sh. 4, Moscow, 125993
O. B. Kerber
Moscow Institute of Electromechanics and Automatics (MIEA)
Email: kirillinav@mati.ru
Russian Federation, Aviatsionnyi pereulok, Moscow, 125319
P. A. Iosifov
Moscow Aviation Institute
Email: kirillinav@mati.ru
Russian Federation, Volokolamskoe sh. 4, Moscow, 125993
G. V. Pankina
Higher School of Economics
Email: kirillinav@mati.ru
Russian Federation, ul. Myasnitskaya 20, Moscow, 101000
B. V. Boitsov
Moscow Aviation Institute
Email: kirillinav@mati.ru
Russian Federation, Volokolamskoe sh. 4, Moscow, 125993