Techniques for Sensor-Based Diagnosis.

Abstract

This paper describes a system called PDS, a forward chaining, rule-based architecture designed for the online, realtime diagnosis of machine processes. Two issues arise in the application of expert systems to the analysis of sensor-based data: spurious readings and sensor degradation. PDS implements techniques called retrospective analysis and meta-diagnosis as solutions to these problems. These techniques and our experiences in knowledge acquisition in a large organization, and the implementation of PDS as a portable diagnostic tool are described. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 14, 1983
Accession Number
ADA133297

Entities

People

  • Mark S. Fox
  • Pamela Kleinosky
  • Simon Lowenfeld

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Buildings And Structures
  • Computers
  • Corporations
  • Degradation
  • Detection
  • Detectors
  • Engineering
  • Engineers
  • Expert Systems
  • Language
  • Malfunctions
  • Reasoning
  • Robotics
  • Thinking
  • Universities

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Robotics and Automation.