APMS SVD methodology and implementation

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Description

One of the main tasks within the Aviation Performance Measurement System (APMS) program uses statistical methodologies to find atypical flights. With thousands of flights a day and hundreds of parameters being recorded every second for each flight, the amount of data escalates and the ability to find atypical flights becomes more difficult. The purpose of this paper is to explain the method known as single value decomposition (SVD) employed to search for the atypical flights and display useful graphics that facilitate understanding the causes of atypicality for these flights. Other methods could also perform this search and some are planned ... continued below

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21 p.

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Amidan, BG & Ferryman, TA April 17, 2000.

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Description

One of the main tasks within the Aviation Performance Measurement System (APMS) program uses statistical methodologies to find atypical flights. With thousands of flights a day and hundreds of parameters being recorded every second for each flight, the amount of data escalates and the ability to find atypical flights becomes more difficult. The purpose of this paper is to explain the method known as single value decomposition (SVD) employed to search for the atypical flights and display useful graphics that facilitate understanding the causes of atypicality for these flights. Other methods could also perform this search and some are planned for future implementation.

Physical Description

21 p.

Notes

OSTI as DE00753847

Medium: P; Size: 21 pages

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  • Other Information: PBD: 17 Apr 2000

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  • Report No.: PNWD-3026
  • Grant Number: AC06-76RL01830
  • DOI: 10.2172/753847 | External Link
  • Office of Scientific & Technical Information Report Number: 753847
  • Archival Resource Key: ark:/67531/metadc702338

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  • April 17, 2000

Added to The UNT Digital Library

  • Sept. 12, 2015, 6:31 a.m.

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  • April 7, 2017, 7:19 p.m.

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Amidan, BG & Ferryman, TA. APMS SVD methodology and implementation, report, April 17, 2000; Richland, Washington. (digital.library.unt.edu/ark:/67531/metadc702338/: accessed September 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.