DocumentCode
1856141
Title
A quantitative, probabilistic approach to human-rating of space systems
Author
Rutledge, Pete ; Buchbinder, Ben
Author_Institution
NASA Headquarters, Washington, DC, USA
fYear
1994
fDate
24-27Jan 1994
Firstpage
216
Lastpage
221
Abstract
This paper presents the quantitative, probabilistic approach to human rating proposed by the authors, together with the current status of this issue at NASA. The authors suggest that decisions on human rating must be made based on the probability of crew survival. The probability of crew survival, in turn, is calculated by applying probabilistic risk modeling to the space system. Not only does this yield the desired quantification for use by the decision-maker, but it results in a dynamic tool for use throughout the system life cycle to identify and focus available risk reduction resources on the system´s primary risk drivers. In conclusion, while human rating can be achieved by the application of classical engineering design techniques including redundancy, fault tolerance, and safety margins, it can be measured only in terms of the probability of crew survival. This ability to measure crew survival probability through probabilistic risk assessment (PRA) methods provides the framework for: 1) trade studies by which to optimize crew survival among the many competing system design variables, and 2) the most resource-efficient application of the classical engineering design techniques to achieve crew survival goals
Keywords
aerospace; personnel; probability; redundancy; reliability; risk management; safety; crew survival; fault tolerance; human-rating; probabilistic risk assessment; probabilistic risk modeling; probability; redundancy; risk reduction; safety margins; space systems; Design engineering; Fault tolerance; Humans; NASA; Probability; Redundancy; Reliability; Risk management; Space vehicles; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Reliability and Maintainability Symposium, 1994. Proceedings., Annual
Conference_Location
Anaheim, CA
Print_ISBN
0-7803-1786-6
Type
conf
DOI
10.1109/RAMS.1994.291111
Filename
291111
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