Drastic Cut of Man's Work in Reliability Studies by Using an Expert System
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 541-543.
Abstract
We show here how we have been able, thanks to the use of artifical intelligence techniques, to find a neat solution to the problem of the automation of reliability studies . We have introduced rule-based representation at two levels : - the modelling of the studied system, which is very general and versatile, and nevertheless quantifiable because of the rule-base representation . - the storage of the reliability engineers' knowledge about failure modes and effects · for conventional components . The productivity of the reliability studies has been substantially improved with this approach .
@inproceedings{ijcai1987p108,
title = {Drastic Cut of Man's Work in Reliability Studies by Using an Expert System},
author = {Bouissou, M. and Villatte, N.},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {541--543},
year = {1987},
note = {Knowledge Representation},
url = {https://ijcai.org/proceedings/1987/108},
}
TY - CPAPER TI - Drastic Cut of Man's Work in Reliability Studies by Using an Expert System AU - Bouissou, M. AU - Villatte, N. T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 541 EP - 543 UR - https://ijcai.org/proceedings/1987/108 ER -Copied
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