Multimodel Processing of Measurement Data in Intelligent Systems for Predicting the Reliability of Spaceborne Equipment

Autor:	A. N. Mironov, M. I. Lomakin, O. L. Shestopalova
Rok vydání:	2014
Předmět:	Set (abstract data type) Structure (mathematical logic) Computer science Applied Mathematics Intelligent decision support system Data mining computer.software_genre Instrumentation computer Reliability (statistics) Parametric statistics Reliability engineering
Zdroj:	Measurement Techniques. 57:8-15
ISSN:	1573-8906 0543-1972
DOI:	10.1007/s11018-014-0399-y
Popis:	The problems of adaptive synthesis of the mathematical support structure for the processing of measurement data in intelligent systems for the prediction of the parametric reliability of spaceborne systems are examined as functions of the characteristics of the predictive situation. The resulting approaches can be used for operational estimates of the reliability of spaceborne systems in the stage of earthbound and flight tests with minimal method error on the set of predictive models.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6da1357e63efebb9dee8f9bb7347292e https://doi.org/10.1007/s11018-014-0399-y Zobrazit plný text záznamu Full text from SpringerLink