Generating Knowledge in Maintenance from Experience Feedback

Abstract : Knowledge is nowadays considered as a significant source of performance improvement, but may be difficult to identify, structure, analyse and reuse properly. A possible source of knowledge is in the data and information stored in various modules of industrial information systems, like CMMS (Computerized Maintenance Management Systems) for maintenance. In that context, the main objective of this paper is to propose a framework allowing to manage and generate knowledge from information on past experiences, for improving the decisions related to the maintenance activity. In that purpose, we suggest an original Experience Feedback process dedicated to maintenance, allowing to capitalize on past interventions by i) formalizing the domain knowledge and experiences using a visual knowledge representation formalism with logical foundation (Conceptual Graphs); ii) extracting new knowledge thanks to association rules mining algorithms, using an innovative interactive approach; iii) interpreting and evaluating this new knowledge thanks to the reasoning operations of Conceptual Graphs. The suggested method is illustrated on a case study based on real data dealing with the maintenance of overhead cranes.
Document type :
Journal articles
Complete list of metadatas

Cited literature [89 references]  Display  Hide  Download
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Monday, September 8, 2014 - 10:52:08 AM
Last modification on : Thursday, September 11, 2014 - 2:27:20 PM
Long-term archiving on : Friday, April 14, 2017 - 3:45:16 PM


Files produced by the author(s)



Paula Potes Ruiz, Bernard Kamsu-Foguem, Bernard Grabot. Generating Knowledge in Maintenance from Experience Feedback. Knowledge-Based Systems, Elsevier, 2014, vol. 68, pp. 4-20. ⟨10.1016/j.knosys.2014.02.002⟩. ⟨hal-01061658⟩



Record views


Files downloads