Skip to Main content Skip to Navigation
Journal articles

Semantic correlation for alarms classification in maintenance process

Abstract : In the scope of maintenance process, alarms triggering and management is an important issue that diagnosis assistance system must take into account. Alarms floods have always been serious risks in monitoring problem, where is overwhelm operators with large amount of alarm messages and different parameters in a short period of time. Consequently, without a useful alarm’s management, diagnosticate the alarm on fly become a very hard task for maintenance operators. In order to improve alarms’ management, we elaborate in this work an approach allowing the classification of alarms according to the failed equipment and using past event traces. In this context, we studied various methodologies of problem discovering and classification. Hence, we provide in this work a comparative analysis of Meta-heuristic optimization techniques using knowledge capitalization extracted thanks to an ontology. The proposed approach has been tested on a real industrial data. The obtained results are encouraging.
Document type :
Journal articles
Complete list of metadata
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Tuesday, November 12, 2019 - 3:02:02 PM
Last modification on : Wednesday, November 13, 2019 - 4:06:57 PM
Long-term archiving on: : Thursday, February 13, 2020 - 7:42:27 PM


Files produced by the author(s)


  • HAL Id : hal-02359715, version 1
  • OATAO : 22797


Mokhtaria Bekkaoui, Mohamed Hedi Karray, Fatima Bekaddour, Sidi Mohammed Meliani. Semantic correlation for alarms classification in maintenance process. Electrotehnica Electronica Automatica, 2017, 65 (3), pp.227-234. ⟨hal-02359715⟩



Record views


Files downloads