Data Mining Tools Make Flights Safer, More Efficient

An average commercial airplane generates a massive amount of data each flight: everything from instrument positions to sensors to voice recordings are collected and stored for later analysis. With so much data, there is no good way for problems to stand out unless a commercial company already knows what those problems look like. Says Captain Jeff Hamlett, the director of flight safety at Southwest Airlines Co., “We have mounds of data; the big request is always, ‘Tell me something I don’t know.’ We have to start with something specific, like an issue we discovered in a pilot report, and then we can search through the system and discover the breadth and depth of the issue.” Discovering these concerns and addressing them before they cause an accident is also one of National Aeronautics and Space Administration's (NASA’s) missions. The Aviation Safety Program under the Aeronautics Research Mission Directorate has many initiatives to enable safer air transportation systems. Among them, in the Intelligent Systems Division at Ames Research Center, is a small team of researchers who have been tasked with applying data mining algorithms to aviation safety problems.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Photos;
  • Pagination: pp 58-59
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01526415
  • Record Type: Publication
  • Files: TRIS
  • Created Date: May 12 2014 9:15AM