Development of an Expert System for Diagnosing Problems on a Paper Machine
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Knowledge Acquisition. Pages 362-364.
Abstract
This paper discusses the development of an expert system for diagnosing problems leading to sheet breaks on a papermaking machine. Such a system is expected to result in both energy and monetary savings by reducing both the frequency and duration of unscheduled machine outages. The knowledge base for this system, which uses a commercial software shell, is still under construction and currently contains about 1600 rules. One of the unique features of this system is the fact that four experts are supplying the knowledge. These experts are the superintendents of the four paper machines at the mill participating in the project. The advantages and disadvantages of using this many experts are discussed, as is the method for handling the differences between them in the prototype system.
@inproceedings{ijcai1987p75,
title = {Development of an Expert System for Diagnosing Problems on a Paper Machine},
author = {Margolis, Nancy Gardner},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {362--364},
year = {1987},
note = {Knowledge Acquisition},
url = {https://ijcai.org/proceedings/1987/75},
}
TY - CPAPER TI - Development of an Expert System for Diagnosing Problems on a Paper Machine AU - Margolis, Nancy Gardner T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 362 EP - 364 UR - https://ijcai.org/proceedings/1987/75 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
