A decision support system for real‐time monitoring and control of dynamical processes

Steven R. Nann, Asok Ray, Soundar Kumara

Research output: Contribution to journalArticle

Abstract

This article presents the concept and development of a prototype diagnostic decision support system for real‐time control and monitoring of dynamical processes. This decision support system, known as Diagnostic Evaluation and Corrective Action (DECA), employs qualitative reasoning, in conjunction with quantitative models, for monitoring and diagnosis of malfunctions in dynamical processes under routine operations and emergency situations. DECA is especially suited for application to time‐constrained environments where an immediate action is needed to avoid catastrophic failure(s). DECA is written in common Lisp and has been implemented on a Symbolics 3670 machine; its efficacy has been verified using the data from the Three Mile Island No. 2 Nuclear Reactor Accident.

Original languageEnglish (US)
Pages (from-to)739-758
Number of pages20
JournalInternational Journal of Intelligent Systems
Volume6
Issue number7
DOIs
StatePublished - Dec 1991

Fingerprint

Real-time Monitoring
Real-time Control
Decision Support Systems
Decision support systems
Diagnostics
Nuclear reactor accidents
Monitoring
Evaluation
Qualitative Reasoning
Nuclear Reactor
Accidents
Emergency
Efficacy
Prototype

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Human-Computer Interaction
  • Artificial Intelligence

Cite this

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A decision support system for real‐time monitoring and control of dynamical processes. / Nann, Steven R.; Ray, Asok; Kumara, Soundar.

In: International Journal of Intelligent Systems, Vol. 6, No. 7, 12.1991, p. 739-758.

Research output: Contribution to journalArticle

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