Nabil OMRI : " Knowledge extraction from the data of an SME for the implementation of the PHM ""

Nabil OMRI PhD works : "Knowledge extraction from the data of an SME for the implementation of the PHM ""

Abstract : This thesis work is part of a collaboration between FEMTO-ST / ENSMM and the SCODER company which is an SME located in the Doubs and specializes in the manufacture of high precision automotive parts. This project aims to develop a data management and predictive analysis approach (Prognostics and Health Management (PHM)). This is a partnership within the framework of the digital transformation of the SCODER company. One of the originalities of this thesis work is to develop a data-oriented PHM approach adapted to SMEs. Our approach is based on the needs of users to quantitatively and qualitatively identify the needed data and estimate the resulting cost..[...]

Jury Composition  : Nourredine ZERHOUNI, PR1 Université Bourgogne Franche-Comté, PhD Director

M. François PERES, Professeur des Universités, ENIT Tarbes,Reporter

M. Samir LAMOURI, Professeur des Universités, Professeur des Universités à Arts et métiers ParisTech ENSAM :au LAMIH UMR CNRS 8201, Reporteur

Mme Zeina AL MASRY, Maître de conférences ENSMM, PhD Co-director

Mme Pauline RIBOT, Maître de conférences, LAAS-CNRS, Equipe DISCO, Reviewer

M. Pascal VAIRAC, Professeur des Universités, ENSMM, Reviewer

Mme Sonia HAJRI, Professeur des Universités, INSAT Tunis, Reviewer

LocaliZation : Amphithéâtre Pierre Mesnage - 26, Rue de l'Epitaphe, 25000 Besançon