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The role of expert systems in supervisory control applications Benford, Paul Michael

Abstract

The development of control systems that incorporate aspects of Artificial Intelligence into their strategy has become a reality for engineering and manufacturing companies. Expert systems, as a branch of AI technology have attained a foothold in real-time control and in doing so have established credibility through many successfully engineered applications. When applying AI to control and monitoring systems, a developer must use new ways to acquire and represent process knowledge. Knowledge Engineering, a new field of Engineering, requires proficiency in the techniques of interviewing experts, guiding experts in their discussions and representing the knowledge gleaned from such interviews into statements in a rule base of procedural code. The approach to knowledge acquisition and some of the pitfalls involved in developing expert systems for real-time control and monitoring are discussed. The descriptions of two leading expert system packages, Comdale/X© and Comdale/C©, are given with case examples, in order to show the development steps and potential benefits of this technology.

Item Metadata

Title
The role of expert systems in supervisory control applications
Creator
Benford, Paul Michael
Publisher
University of British Columbia
Date Issued
1993
Description
The development of control systems that incorporate aspects of Artificial Intelligence into their strategy has become a reality for engineering and manufacturing companies. Expert systems, as a branch of AI technology have attained a foothold in real-time control and in doing so have established credibility through many successfully engineered applications. When applying AI to control and monitoring systems, a developer must use new ways to acquire and represent process knowledge. Knowledge Engineering, a new field of Engineering, requires proficiency in the techniques of interviewing experts, guiding experts in their discussions and representing the knowledge gleaned from such interviews into statements in a rule base of procedural code. The approach to knowledge acquisition and some of the pitfalls involved in developing expert systems for real-time control and monitoring are discussed. The descriptions of two leading expert system packages, Comdale/X© and Comdale/C©, are given with case examples, in order to show the development steps and potential benefits of this technology.
Extent
7120431 bytes
Genre
Thesis/Dissertation
Type
Text
File Format
application/pdf
Language
eng
Date Available
2008-08-05
Provider
Vancouver : University of British Columbia Library
Rights
For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.
DOI
10.14288/1.0081179
URI
http://hdl.handle.net/2429/1267
Degree
Master of Applied Science - MASc
Program
Mining Engineering
Affiliation
Applied Science, Faculty of; Mining Engineering, Keevil Institute of
Degree Grantor
University of British Columbia
Graduation Date
1993-05
Campus
UBCV
Scholarly Level
Graduate
Aggregated Source Repository
DSpace

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Rights

For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.