The role of expert systems in supervisory control applications

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.

Name thesis:degree_name

Master of Applied Science - MASc

Level thesis:degree_level

master's

Discipline thesis:degree_discipline

Mining Engineering

Grantor dc:publisher

University of British Columbia

Year dc:date

1993

Author dc:creator

• Benford, Paul Michael

Statement dc: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.

Language dc:language

eng

Handle dc:identifier

http://hdl.handle.net/2429/1267

OAI identifier oai:identifier

oai:circle.library.ubc.ca:2429/1267