A Decision Support System for Control and Automation of Dynamical Processes

Abstract

The thesis presents the concept and development of a diagnostic decision support system for real-time control and automation of dynamic processes. This system, known as DECA (Diagnostic Evaluation and Corrective Action), will take advantage of the computer's ability to manipulate vast amounts of data, and employ qualitative reasoning for the monitoring and diagnosis of dynamical processes during time-constrained, routine, and emergency situations where an immediate response is necessary to avoid catastrophic failure of the system. The software system's architecture has been structured in such a manner that is can be applied to any dynamic process without reprogramming. DECA is written in Lisp and was verified using the data from the Three Mile Island Nuclear Reactor Accident.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1990
Accession Number
ADA219501

Entities

People

  • Steve Nann

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Coding
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Databases
  • Decision Support Systems
  • Lisp Programming Language
  • Nuclear Reactors
  • Plastic Explosives
  • Programming Languages
  • Reactor Accidents
  • Reasoning
  • Relational Databases
  • Text Messaging

Readers

  • Aerospace Test and Evaluation
  • Artificial Intelligence
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.