A LISP-Based Expert System for Detecting Failures in Aircraft Systems.

Abstract

An expert system that provides fault detection and limited fault tolerance was designed for a generic aircraft model. A best-first search among applicable rules was utilized, leading to efficient recognition and processing of abnormal situations. Results showed that such an expert system is feasible and that it could contribute to increased reliability of aircraft system operation without a high degree of complexity. Keywords: FDIES(Fault Detection and Identification Expert System); Data bases; Artificial Intelligence; Control Systems; Flight Control; Cybernetics; Computer Systems; Systems Analysis. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 1984
Accession Number
ADA165145

Entities

People

  • Chien Y. Huang

Organizations

  • Princeton University

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Actuators
  • Aircraft Models
  • Aircrafts
  • Artificial Intelligence
  • Barometric Pressure
  • Computer Programs
  • Computers
  • Databases
  • Detection
  • Detectors
  • Expert Systems
  • Fuel Gages
  • Identification
  • Models
  • Recognition
  • Reliability
  • Static Pressure

Fields of Study

  • Engineering

Readers

  • Aerospace Engineering
  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Artificial Intelligence

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems