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systematic benchmarking of diagnostic technologies for an electrical power systemAutomated health management is a critical functionality for complex aerospace systems. A wide variety of diagnostic algorithms have been developed to address this technical challenge. Unfortunately, the lack of support to perform large-scale V&V (verification and validation) of diagnostic technologies continues to create barriers to effective development and deployment of such algorithms for aerospace vehicles. In this paper, we describe a formal framework developed for benchmarking of diagnostic technologies. The diagnosed system is the Advanced Diagnostics and Prognostics Testbed (ADAPT), a real-world electrical power system (EPS), developed and maintained at the NASA Ames Research Center. The benchmarking approach provides a systematic, empirical basis to the testing of diagnostic software and is used to provide performance assessment for different diagnostic algorithms.
Document ID
20100003315
Document Type
Conference Paper
Authors
Kurtoglu, Tolga
(Mission Critical Technologies, Inc. Moffett Field, CA, United States)
Jensen, David
(Oregon State Univ. Corvallis, OR, United States)
Poll, Scott
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 25, 2013
Publication Date
March 7, 2009
Subject Category
Systems Analysis and Operations Research
Report/Patent Number
IEEEAC Paper 1225
ARC-E-DAA-TN250
Meeting Information
IEEE Aerospace Conference(Big Sky, MT)
Funding Number(s)
CONTRACT_GRANT: NNA07BB97C
CONTRACT_GRANT: NCC2-1426
Distribution Limits
Public
Copyright
Other