Ph. D. Project
Title:
Contribution to the identification of dangerous situations and their detection through the analysis of deviations from the production equipment. Application to an automatised line
Dates:
2018/11/26 - 2021/11/25
Supervisor(s): 
Other supervisor(s):
Pr Ali SIADAT (Ali.SIADAT@ensam.eu)
Description:
The INRS, the national reference institute for the prevention of industrial accidents, is interested in the safety of automated installations or machines with different operating modes (automatic, manual,...) to protect the operator or third parties from "machine" risks, in particular mechanical risks related to mobile work elements during the operation of these machines.
User protection must be taken into account in the design (Machinery Directive 2006/42/EC and associated standards). The manufacturer must then consider reasonably foreseeable misuse by the operator or third parties and thus provide for appropriate protective measures. But in practice, the operating context means that the equipment or production process can drift and can lead the operator to respond to this situation. The operator can thus expose himself to dangerous situations, during a production hazard or a malfunction, by following an inappropriate operating mode. To improve operator safety, it is therefore useful to check whether it is possible to identify these situations in order to prevent them.

The scope of this thesis concerns automated systems in service/operation in the manufacturing sector (work equipment, machines, automated lines) with a more particular focus on product assembly systems (products for example in terms of mechanical parts).

General objective: To formalize and validate an approach that makes it possible, based on the definition of work situations, to anticipate dangerous situations relating to equipment in service based on data from production and its environment.
The major contribution to this thesis is therefore methodological. It will be based on the proposal of a set of (rather) generic business models (or even approaches), which will be integrated in a coherent way. This multi-view modeling of a system should make it possible to identify/characterize the work situations and the operator's responses, which can evolve towards dangerous situations and consequently, the way to monitor them based on different parameters of these systems. In this sense, the proposed work is structured in 3 stages that define the research program planned for the doctoral student.
Keywords:
Safety, work situation, equipment drifts, dangerous situations, anticipation
Department(s): 
Eco-Technic systems engineering