Accession Number:

ADA172718

Title:

Diagnosis of Analog Electronic Circuits: A Functional Approach.

Descriptive Note:

Master's thesis,

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s):

Report Date:

1986-03-01

Pagination or Media Count:

125.0

Abstract:

This describes and proposes an analog electronic circuit diagnostic system using functional knowledge and an artificial intelligence expert system. A prototype of the system is implemented using the KEE expert system building tool to demonstrate its applicability. Functional knowledge is used to analyze the circuit instead of just the structural information widely used now. This permits a more specific identification of bad components within a circuit. The current system in use at Warner Robins Air Logistic Center returns lists of bad components ranging in length up to 25 and 30 individual parts. Functional reasoning will enable the system to further restrict the specification of bad parts. Research into the current literature provides the background and basic knowledge needed to determine the required information for the diagnostic system knowledge base. The system described in this paper proposes the use of a functional rule knowledge base in addition to a structural data base to perform a more complete diagnosis than is now done by the system in use at some Air Force logistic centers.

Subject Categories:

  • Electrical and Electronic Equipment
  • Computer Programming and Software
  • Computer Hardware

Distribution Statement:

APPROVED FOR PUBLIC RELEASE