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UBC Theses and Dissertations

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


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.

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