Drastic Cut of Man's Work in Reliability Studies by Using an Expert System
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.
Cite
Text
Bouissou and Villatte. "Drastic Cut of Man's Work in Reliability Studies by Using an Expert System." International Joint Conference on Artificial Intelligence, 1987.Markdown
[Bouissou and Villatte. "Drastic Cut of Man's Work in Reliability Studies by Using an Expert System." International Joint Conference on Artificial Intelligence, 1987.](https://mlanthology.org/ijcai/1987/bouissou1987ijcai-drastic/)BibTeX
@inproceedings{bouissou1987ijcai-drastic,
title = {{Drastic Cut of Man's Work in Reliability Studies by Using an Expert System}},
author = {Bouissou, M. and Villatte, N.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1987},
pages = {541-544},
url = {https://mlanthology.org/ijcai/1987/bouissou1987ijcai-drastic/}
}