Development of a Prototype Multichannel Communication Network Maintenance Expert System.

Abstract

This thesis involves the development of a small prototype microcomputer-based expert system to aid the Battalion Maintenance Officer (or staff) of a division signal battalion allocate resources when a communications node fails. This decision aid is designed to fill the gap between those automated systems designed to reroute circuits and those designed to diagnose equipment failures. The system models a multichannel network as employed by a division signal battalion. It is limited to only the multichannel equipment itself and not any other network components (patch panels, switchboards, etc.). The assumption is that troubleshooting has taken place and the system failure is due to multichannel equipment failure in an AN/TRC 145 Radio Terminal. This system is conceived as part of an integrated automated management system to aid the controlling node in managing the battlefield communications network more effectively. It is called Computer Aided Communication System Maintenance Manager (CACSMAM). CACSMAM consists of approximately 185 production rules, written using the M.1 Knowledge System Development Tool (version 2.0) by Teknowledge, Inc and requires 338K bytes of RAM on an IBM PC compatable computer running PC DOS 2.1 or higher.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1987
Accession Number
ADA183391

Entities

People

  • Joseph S. Yavorsky

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Cyber
  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • C Programming Language
  • Command And Control
  • Command And Control Systems
  • Communication Systems
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Databases
  • Electronics
  • Expert Systems
  • Logistics
  • Maintenance
  • Maintenance Personnel
  • Multichannel Communications
  • United States

Fields of Study

  • Engineering

Readers

  • Artificial Intelligence
  • Computer Networking
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.