HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Theses

Contribution à l’identification de situations dangereuses et à leurs détections par l’analyse des dérives de l’équipement de production. Application à une ligne d'assemblage automatisée

Abstract : In a work situation on an automated assembly machine, technical drifts during operation can lead to machine malfunctions. These malfunctions can lead the operator supervising the machine to adapt and react to reduce the effect of these technical drifts on the rest of the working situation. To respond to these malfunctions, the operator may place himself in a hazardous situation.In this context, this manuscript contributes therefore to prevent work accidents on machines. The major contribution of this thesis is methodological. The aim of the proposed method, named Working Situation Health Monitoring (WSHM), is to define a working situation’s health indicator that will enable the monitoring of the appearance of these potentially hazardous situations, from data generated by the machines. To define this indicator, we suggest identifying these potentially hazardous situations by analyzing the potential drifts of the work situation. These drifts can be technical (drifts of product characteristics, drifts of the product flow characteristics, and/or drift of the machine health) and/or from interactions between the operator, the machine and/or the products.To support this identification, we suggest modeling the work situation as a whole by representing it as a system. This modeling allows capitalizing the information on the studied work situation in a unique data model based on a pattern (working situation’s reference model). The contribution of this work has been tested on a case study (an automated assembly machine for educational purposes) in order to prove its feasibility.
Complete list of metadata

https://hal.univ-lorraine.fr/tel-03666619
Contributor : Thèses Ul Connect in order to contact the contributor
Submitted on : Thursday, May 12, 2022 - 4:10:53 PM
Last modification on : Tuesday, May 17, 2022 - 2:23:00 PM

File

DDOC_T_2022_0028_DUPONNOIS.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : tel-03666619, version 1

Collections

Citation

Romain Duponnois. Contribution à l’identification de situations dangereuses et à leurs détections par l’analyse des dérives de l’équipement de production. Application à une ligne d'assemblage automatisée. Automatique / Robotique. Université de Lorraine, 2022. Français. ⟨NNT : 2022LORR0028⟩. ⟨tel-03666619⟩

Share

Metrics

Record views

0

Files downloads

0