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A generic framework for online knowledge-based diagnostic systems in batch chemical processes

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3 Author(s)
J. Davis ; Dept. of Chem. Eng., Ohio State Univ., Columbus, OH, USA ; S. Thapliyal ; J. L. Marchio

A generic framework for a knowledge-based operator advisory system which defines the knowledge, knowledge organization and problem solving strategy for discrete-with-sufficient-time operations is presented. The operator advisory system architecture is based on the procedural decomposition achieved through a “phase-step model” of discrete processes. Operator advisories are generated for plant monitoring, fault detection and diagnosis, and corrective action planning. The architecture is implemented as a general-purpose shell and successfully demonstrated for the case of the startup of a delayed coking unit

Published in:

Intelligent Control, 1993., Proceedings of the 1993 IEEE International Symposium on

Date of Conference:

25-27 Aug 1993