From basic research to industrial partnership

PhD

PhD proposals

Optimization of the maintenance process through the monitoring of the equipment’s health condition during its life cycle

Subject :
The problematic to solve in this thesis is between two communities of study: the PHM (Prognostic and Health Management) which develops predictive maintenance strategies and the PLM (Product Life-cycle management) which studies the management of the life cycle of a product from its design to its recycling. One of the interests of this study is the recycling of components having reliable traceability of their health condition during their operating phase. The place of maintenance in the life cycle of a technical complex product and the sharing of the information about the product and the processes of its life cycle will be privileged to ensure also the sustainability of the product (equipment).

The objective of this study is from one hand to optimize the industrial process of maintenance and in the other hand to design and develop a solution allowing to elaborate and to capitalize the knowledge related to the health state of industrial equipment through its life cycle

The work requested in this thesis will be oriented according two axes: the first concerns the elaboration of a s-maintenance platform by considering the works of the PROMI team in the domain, and the second the development of services in the platform from the platform ontology, the gathered data and the expert knowledge related to the complex equipment

Thesis Manager :

B. CHEBEL MORELLO ; N. ZERHOUNI
FEMTO-ST/AS2M Department, PROMI research team

More information (pdf, 40 Ko)

Contribution to process degradation modeling: application to failure prognostic

Description of the subject
The principle of data-driven prognostic relies on the transformation of the monitoring data provided by the sensors into behavioral models that best represent the degradation process. Among the tools which can be used to model the degradation, one can cite the probabilistic graphical models. Our objective in this thesis is to develop a probabilistic approach for modeling degradation processes of critical physical components, integrating explicit stay duration laws in the stochastic models and considering variable operating contexts.

Requested profile
The applicant must have an Engineer or Master degree in one of the following disciplines: engineering sciences or applied mathematics. In addition, the applicant must have strong skills in the following domains:
- Fault detection, isolation and diagnostic. Skills in failure prognostic would be appreciated for the applicant.
- Modelling by using artificial intelligence tools, particularly probabilistic models.
- Data and signal processing.
- Matlab programming.
- Good level in English: spoken and written.

Type of financing
Public financing (Grant of the French Ministry of Education and Scientific Research)

Candidature
Send by e-mail to kamal.medjaher@ens2m.fr and noureddine.zerhouni@ens2m.fr:
a CV and a motivation letter ;
the grading during the last year of studies (Master or Engineering level) ;
a letter of recommendation from the head of the research department (or from the head of the last year of studies).

More information (pdf, 27 Ko)

Investigation on the noise origins of bulk acoustic wave resonators and the application to the pure synthetic material like GaPO4, LGS and LGT.

Description:
Space applications of precise location/altimetry, navigation and science require better frequency stabilities and higher spectral purities, to achieve the objectives. Frequency stabilities are required for both ultra-stable oscillators (USO) using quartz crystal and atomic clocks in which the quartz crystal gives the limitation of stability in the short term domain. In each case, it is necessary to have a very low noise oscillator, and for that we should select and control the noise sources of crystal resonators. There are still noticeable side effects, whose causes are now clearly attributed to the resonator but not explicitly, and that remain harmful to the performances of USOs. Other synthetic materials like gallium orthophosphate (GaPO4) and langatate family (LGT, LGS, …) shown their potentialities in such field applications. Today, model and study of intrinsic resonator noise of these materials are completely unknown.(...)

Financial conditions: This thesis is financed by the French ministry of research.

Beginning: September-October 2010.

Candidate profile: Physics or Engineering Science master with solid-state physic and materials knowledge.

Thesis manager:
F. Sthal, 333 81 40 28 31, fsthal@femto-st.fr
Co-manager:
J. Imbaud, 333 81 40 28 39, joel.imbaud@ens2m.fr
M. Devel, 333 81 40 28 68, michel.devel@femto-st.fr

More information (pdf, 18 Ko)

Identification of thin films constitutive parameters using point
loadings and full-field measurements for anisotropic and/or
heterogeneous materials.

Goals :
The goals of this PhD project is, starting from an available Scanning Microdeformation Microscope (SMM) :

->To develop a calibration method allowing to decouple the elastic parameters for isotropic materials (tungsten).

->To implement this method in order to retrieve the elastic parameters of a well-known anisotropic material (aluminium nitride).

->To use an existing full-field measurement set-up in order to measure kinematic fields in the tip's vicinity under dynamic loading (heterodyne interferometric imaging).

->To develop a dedicated identification procedure to describe the heterogeneous and/or anisotropic material of the film under scrutiny
from the kinematic fields obtained nearby the tip.

Salary :
PhD grant from the French education and research ministry.
See : http://www.enseignementsup-recherche.gouv.fr/cid20185/doctorat.html (in french)

Application :
All interested candidates irrespective of age, gender, race, religion or ethnic background are encouraged to apply.

Please send :
- Application in English including motivation for applying
- C.V.
- Recommendation letter to fabien.amiot@femto-st.fr and pascal.vairac@femto-st.fr

Need more informations?
please send an e-mail to :
fabien.amiot@femto-st.fr ; pascal.vairac@femto-st.fr

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