Skip to Main content Skip to Navigation
Journal articles

Graph-based reasoning in collaborative knowledge management for industrial maintenance

Abstract : 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.
Document type :
Journal articles
Complete list of metadatas

Cited literature [71 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00881052
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Thursday, November 7, 2013 - 1:54:49 PM
Last modification on : Tuesday, October 20, 2020 - 10:24:01 AM
Long-term archiving on: : Friday, April 7, 2017 - 10:40:36 PM

File

Kamsu-Foguem_9587.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

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

Share

Metrics

Record views

155

Files downloads

672