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CQFD Research team
Quality control and dynamic reliability
- Leader : François Dufour
- Type : Project team
- Research center(s) : Bordeaux
- Field : Applied Mathematics, Computation and Simulation
- Theme : Stochastic Methods and Models
- Université de Bordeaux, CNRS, Institut de Mathématiques de Bordeaux (IMB) (UMR5251)
Team presentation
Economic, scientific and military competition leads many industrial sectors to design ever more successful and reliable processes and equipment. Reliability and quality control, and more generally dependability and safety, have thus become crucial in the field of engineering. The objective of our team is to apply mathematical methods especially probabilistic and statistical tools from estimation and control theory to dependability and safety and more specifically to dynamic reliability and quality control.Research themes
We investigate the following fields:- Design and analysis of realistic and accurate random models for dependability. In particular, models for dynamic reliability and semi- or non-parametric models for quality control.
- Implementation of estimation algorithms in relation with our stochastic models and evaluation of reliability indexes.
- Design of control for maintenance and reconfiguration.
International and industrial relations
We have regional, national and international collaborators from both the academic and industrial world.Relations internationales :
Oswaldo Luiz do Valle Costa, Universidade de São Paulo. Tyrone Duncan, University of Kansas. Robert Elliott, University of Calgary. Lei Guo, Chinese Academy of Sciences. Boris Miller, Monash University Australia, ASR. Raul Montes, Universidad Autonoma Metropolitana, Mexico. Keming Yu, Brunel University.
Relations industrielles :
CHANEL: estimation of tolerance curves. IFREMER: the reliability of offshore oil rigs.
Keywords: Reliability Quality control Dependability and safety
Research teams of the same theme :
- ALEA - Advanced Learning Evolutionary Algorithms
- ASPI - Applications of interacting particle systems to statistics
- I4S - Statistical Inference for Structural Health Monitoring
- MATHRISK - Mathematical Risk handling
- REGULARITY - Probabilistic modelling of irregularity and application to uncertainties management
- TOSCA - TO Simulate and CAlibrate stochastic models
Contact
Team leader
François Dufour
Tel.: +33 5 40 00 21 18
Secretariat
Tel.: +33 5 40 00 36 40
Inria
Inria.fr
Inria Channel

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