Title :
Parametric estimation of R&M parameters during the conceptual design of space vehicles
Author :
Ebeling, Charles E.
Author_Institution :
Dayton Univ., OH, USA
Abstract :
Reliability and maintainability parameters of proposed space vehicles are estimated based on a comparability analysis of similar aircraft subsystems. Using multiple regression techniques, parametric equations are developed for each subsystem to predict mean flying hours between failure as a function of vehicle design and performance specifications. These estimates are then adjusted to account for reliability growth, environmental differences, and new technologies. Overall vehicle mission reliability may then be computed from subsystem reliability estimates
Keywords :
aircraft; maintenance engineering; parameter estimation; reliability; space vehicles; comparability analysis; conceptual design; environmental differences; maintainability parameters; multiple regression; parametric equations; reliability growth; similar aircraft subsystems; space vehicles; vehicle mission reliability; Aerospace electronics; Engines; Equations; Maintenance; Military aircraft; NASA; Parameter estimation; Space stations; Space technology; Space vehicles;
Conference_Titel :
Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0652-X
DOI :
10.1109/NAECON.1992.220479