Graph-based reasoning in collaborative knowledge management for industrial maintenance

Bernard Kamsu-Foguem (1) , Daniel Noyes (1)

1 LGP - Laboratoire Génie de Production

Capitalization and sharing of lessons learned play an essential role in managing the activities of industrial systems. This is particularly the case for the maintenance management, especially for distributed systems often associated with collaborative decision-making systems. Our contribution focuses on the formalization of the expert knowledge required for maintenance actors that will easily engage support tools to accomplish their missions in collaborative frameworks. To do this, we use the conceptual graphs formalism with their reasoning operations for the comparison and integration of several conceptual graph rules corresponding to different viewpoint of experts. The proposed approach is applied to a case study focusing on the maintenance management of a rotary machinery system.

Mots clés: Experience feedback; Conceptual graph rule; Expert knowledge Maintenance management; Case-based reasoning; Fleet considerations

Domaines: Modélisation et simulation

Bernard Kamsu-Foguem, Daniel Noyes. Graph-based reasoning in collaborative knowledge management for industrial maintenance. Computers in Industry, 2013, Vol. 64, pp. 998-1013. ⟨10.1016/j.compind.2013.06.013⟩. ⟨hal-00881052⟩