Model-Based Troubleshooting of Digital Systems

Abstract

This thesis describes a methodology, a representation, and an implementated program for troubleshooting digital circuit boards at roughly the level of expertise one might expect in a human novice. Existing methods for model-based troubleshooting have not scaled up to deal with complex circuits, in part because traditional circuit models do not explicitly represent aspects of the device that troubleshooters would consider important. For complex devices the model of the target device should be constructed with the goal of troubleshooting explicitly in mind. Artificial intelligence, automated diagnosis, hardware troubleshooting, model-based reasoning, diagnosis from first principles, temporal reasoning.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1988
Accession Number
ADA201041

Entities

People

  • Walter C. Hamscher

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Computer Programs
  • Computer Science
  • Computers
  • Databases
  • Detectors
  • Digital Circuits
  • Failure Mode And Effect Analysis
  • Jet Propulsion
  • Lisp Programming Language
  • Logic Gates
  • Operating Systems
  • Psychology
  • Reasoning
  • Reliability
  • Time Intervals

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Instructional Design and Training Evaluation.
  • Statistical inference.

Technology Areas

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