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Improved Verification for Aerospace SystemsAerospace systems are subject to many stringent performance requirements to be verified with low risk. This report investigates verification planning using conditional approaches vice the standard classical statistical methods, and usage of historical surrogate data for requirement validation and in verification planning. The example used in this report to illustrate the results of these investigations is a proposed mission assurance requirement with the concomitant maximum acceptable verification risk for the NASA Constellation Program Orion Launch Abort System (LAS). This report demonstrates the following improvements: 1) verification planning using conditional approaches vice classical statistical methods results in plans that are more achievable and feasible; 2) historical surrogate data can be used to bound validation of performance requirements; and, 3) incorporation of historical surrogate data in verification planning using conditional approaches produces even less costly and more reasonable verification plans. The procedures presented in this report may produce similar improvements and cost savings in verification for any stringent performance requirement for an aerospace system.
Document ID
20090002613
Acquisition Source
Johnson Space Center
Document Type
Conference Paper
Authors
Powell, Mark A.
(Science Applications International Corp. Webster, TX, United States)
Date Acquired
August 24, 2013
Publication Date
January 1, 2008
Publication Information
Publisher: Institute of Electrical and Electronics Engineers
Subject Category
Space Transportation And Safety
Report/Patent Number
IEEE AC Paper 1445, Version 1
Meeting Information
Meeting: IEEE Aerospace Conference
Location: Montana
Country: United States
Start Date: March 7, 2009
End Date: March 14, 2009
Sponsors: Institute of Electrical and Electronics Engineers
Distribution Limits
Public
Copyright
Other

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