Application of Artificial Intelligence to Improve Aircraft Survivability.

Abstract

The hazards associated with the critical flight phases of civil as well as military flight operations can seriously degrade pilot efficiency, and therefore aircraft survivability, if the number or complexity of tasks that the pilot must manage exceeds his/her capabilities. This thesis explores the feasibility of applying artificial intelligence (AI) research to the construction of a Survivability Manager (SM) knowledge based system (KBS) that will assist the pilot by assuming a portion of the survivability task management load. The application of KBS principles to survivability management is illustrated using the normal and emergency management procedures for a hypothetical engine fuel supply system as a working example. Though the SM is not a reality today, there is considerable research in both AI and survivability enhancement studies to draw upon. It is recommended that a prototype be developed using currently available assets to further investigate the feasibility of the Survivability Manager.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1985
Accession Number
ADA164172

Entities

People

  • William L. Decker

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accidents
  • Air Force
  • Aircrafts
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Aviation Accidents
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Directed Energy Weapons
  • Employment
  • Engineers
  • Expert Systems
  • Failure Mode And Effect Analysis
  • Military Aircraft

Readers

  • Aerospace Engineering
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy