Integrating Measurement Information in the Experimental Analysis of Aerospace Components

Autor:	L. N. Aleksandrovskaya, A. V. Kirillin, P. A. Iosifov
Rok vydání:	2020
Předmět:	Degree (graph theory) Computer science business.industry Mechanical Engineering Bayesian probability computer.software_genre Hybrid approach Automatic landing Industrial and Manufacturing Engineering Probability distribution Data mining Aerospace business Engineering design process computer
Zdroj:	Russian Engineering Research. 40:230-236
ISSN:	1934-8088 1068-798X
DOI:	10.3103/s1068798x20030053
Popis:	In the experimental analysis of aerospace components, measuring information must be integrated. Two approaches are considered: Bayesian assessment; and a mixture of probability distributions. The Bayesian approach is modified here so that the degree of uniformity of the information is taken into account. The Bayesian assessment and the mixture of probability distributions are compared. A hybrid approach in which the degree of uniformity of the information is taken into account is also considered, for the example of single-stage analysis in the automatic landing of a civilian airliner. Recommendations are made regarding the limitations and optimal applicability of the given approaches.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::39d1ef3d8d7b9ccdac3b34e2ae3b4802 https://doi.org/10.3103/s1068798x20030053 Zobrazit plný text záznamu Full text from SpringerLink