Failure Detection Processes by Pattern Recognition and Expert Systems,

Abstract

This paper analyses the failure diagnostic processes involved in automatic testing, automatic imaging inspection and more general technical diagnostic systems. It is shown how properly selected pattern recognition methods, artificial intelligence procedures, and relational data base search schemes, must be assembled to achieve operational requirements which these diagnostic systems must meet. This paper will indicate some basic design and selection criteria, and outline how it can be simplified in a number of practical cases. It will also describe the corresponding failure diagnostic system architecture.

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1984
Accession Number
ADP003924

Entities

People

  • L. F. Pau

Organizations

  • Battelle Memorial Institute

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automatic
  • Damage Detection
  • Databases
  • Detection
  • Expert Systems
  • Pattern Recognition
  • Recognition
  • Relational Databases

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy