Diagnostic reasoning based on structure and behavior
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
| Hi-index | 0.00 |
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.