Skip to Main content Skip to Navigation

Modélisation d’un parc de machines pour la surveillance. : application aux composants en centrale nucléaire

Abstract : This thesis deals with the conception of diagnosis systems using the data collected on identical machines working under different conditions. We are interested in the fault diagnosis method without a priori model and in modelling a fleet of machines using the data collected on all the machines. Hence, the problem can be formulated as a multi-task learning problem where models of the different machines are constructed simultaneously. These models are supposed to share some common parts. In the second chapter, we first consider linear models of type multiple-input/single-output. A first approach consists in analyzing the linear regression models generated using the data of each machine independently from the others in order to identify their common parts. Using this knowledge, new models for the machines are generated. The second approach consists in identifying simultaneously the coefficients of the models and their common parts. Secondly, the redundancy models are searched for using PCA. This way, no hypothesis on the knowledge of the structures of models describing the normal behavior of each machine is needed. In addition, this method allows to take into consideration the errors existing on all the variables since it does not differentiate between input or output variables. In the third chapter, a study on the discernibility of the outputs of the models is realized. The problem consists in identifying the range of variation of the input variables leading to discernible outputs of the models. This problem is solved using either the confined pavements to the different domains or a pavement method. Finally, the multi-task modelling approaches are applied on simulators of heat exchangers
Document type :
Complete list of metadata
Contributor : Thèses UL Connect in order to contact the contributor
Submitted on : Friday, May 21, 2021 - 3:10:46 PM
Last modification on : Saturday, October 16, 2021 - 11:14:16 AM
Long-term archiving on: : Sunday, August 22, 2021 - 6:51:06 PM


Files produced by the author(s)


  • HAL Id : tel-01754515, version 1



Farah Ankoud. Modélisation d’un parc de machines pour la surveillance. : application aux composants en centrale nucléaire. Informatique [cs]. Institut National Polytechnique de Lorraine, 2011. Français. ⟨NNT : 2011INPL102N⟩. ⟨tel-01754515⟩



Record views


Files downloads