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Aircraft Exceedances Vary According to Time of Day and WorkloadThe Flight Operational Quality Assurance (FOQA) programs have been implemented in US and Europe to identify anomalous flights based on data recorded on board an aircraft in an effort to improve flight safety. Numerous methods have been developed to support the analysis of FOQA data. However, it is unclear how FOQA data relates to the performance of the pilot. We sought to characterize the frequency and type of flight exceedances extracted from FOQA data during a controlled pilot schedule in order to determine whether patterns of exceedances related to human control of the aircraft would change according to scheduling factors.
Document ID
20180006873
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Arsintescu, Lucica
(San Jose State Univ. Moffett Field, CA, United States)
Matthews, Bryan L.
(SGT, Inc. Moffett Field, CA, United States)
Feary, Michael S.
(NASA Ames Research Center Moffett Field, CA, United States)
Nowinski, Jessica L.
(NASA Ames Research Center Moffett Field, CA, United States)
Oza, Nikunj C.
(NASA Ames Research Center Moffett Field, CA, United States)
Flynn-Evans, Erin E.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
October 25, 2018
Publication Date
May 6, 2018
Subject Category
Aeronautics (General)
Report/Patent Number
ARC-E-DAA-TN56137
Report Number: ARC-E-DAA-TN56137
Meeting Information
Meeting: Annual Scientific Meeting of the Aerospace Medical Association
Location: Dallas, TX
Country: Afghanistan
Start Date: May 6, 2018
End Date: May 10, 2018
Sponsors: Aerospace Medical Association
Funding Number(s)
CONTRACT_GRANT: NNX17AE07A
CONTRACT_GRANT: NNA14AA60C
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Keywords
flight data
exceedances
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