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Testing Hyde on Adapt

AUTHOR Nasa, National Aeronautics and Space Adm
PUBLISHER Independently Published (01/13/2019)
PRODUCT TYPE Paperback (Paperback)

Description
The IVHM Project in the Aviation Safety Program has funded research in electrical power system (EPS) health management. This problem domain contains both discrete and continuous behavior, and thus is directly relevant for the hybrid diagnostic tool HyDE. In FY2007 work was performed to expand the HyDE diagnosis model of the ADAPT system. The work completed resulted in a HyDE model with the capability to diagnose five times the number of ADAPT components previously tested. The expanded diagnosis model passed a corresponding set of new ADAPT fault injection scenario tests with no incorrect faults reported. The time required for the HyDE diagnostic system to isolate the fault varied widely between tests; this variance was reduced by tuning HyDE input parameters. These results and other diagnostic design trade-offs are discussed. Finally, possible future improvements for both the HyDE diagnostic model and HyDE itself are presented. Sweet, Adam Ames Research Center 645846.02.07.01.01
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Product Details
ISBN-13: 9781793899590
ISBN-10: 1793899592
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
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Page Count: 28
Carton Quantity: 146
Product Dimensions: 8.50 x 0.06 x 11.00 inches
Weight: 0.20 pound(s)
Country of Origin: US
Subject Information
BISAC Categories
Science | Space Science - General
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The IVHM Project in the Aviation Safety Program has funded research in electrical power system (EPS) health management. This problem domain contains both discrete and continuous behavior, and thus is directly relevant for the hybrid diagnostic tool HyDE. In FY2007 work was performed to expand the HyDE diagnosis model of the ADAPT system. The work completed resulted in a HyDE model with the capability to diagnose five times the number of ADAPT components previously tested. The expanded diagnosis model passed a corresponding set of new ADAPT fault injection scenario tests with no incorrect faults reported. The time required for the HyDE diagnostic system to isolate the fault varied widely between tests; this variance was reduced by tuning HyDE input parameters. These results and other diagnostic design trade-offs are discussed. Finally, possible future improvements for both the HyDE diagnostic model and HyDE itself are presented. Sweet, Adam Ames Research Center 645846.02.07.01.01
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Paperback