Pascal Maussion

Pascal Maussion

Pascal Maussion

Professor at Université de Toulouse and researcher with CNRS research     Laboratory: LAPLACE, LAboratory for PLAsma and Conversion of Energy     in CODIASE (Control and Diagnostic of Electrical Systems) group.

keynote speech :Methods for lifespan modelling in electrical engineering”.

Abstract:

       Reliability has become an important issue nowadays since the most critical industries such as aeronautics, space and nuclear are moving towards the design of more electrical based systems. Numerous lifespan models have been developed in the literature in electrical engineering,but these models have some limitations: they depend on the studied material and its physical properties, they are often restricted to one or two stress factors and they do not integrate interactions that may exist between these factors. New methodologies for the lifespan modelling of electrical engineering components will be presented. They are based on design of experiments, response surfaces which are parametric models and regression trees which are non-parametric models. A third approach, called hybrid model (piecewise linear)is proposed which consists in assigning a linear model to each of the zones identified with regression trees. The developed models are statistical models estimated on experimental data obtained from accelerated aging tests where several types of stress factors are considered. The models aim to study the effects of the different stress factors and their different interactions. The number and the configuration of the aging tests needed to construct the models (learning sets) are optimized in order to minimize the experimental cost while maximizing the accuracy of the models. Additional randomly configured experiments are carried out to validate the models (test sets). Two categories of components are tested: two types of insulation materials that are commonly used in electrical machines and OLED lighting panels. Different forms of lifespan models are presented: parametric, non-parametric and hybrid models. Models are evaluated using different statistical tools in order to study their relevance and to assess their predictability on the test set points.

 

Biography:

 

       Pascal Maussion (IEEE senior member) got his PhD in Electrical Engineering in 1990 from Université de Toulouse, Institut National Polytechnique (INP), France. He is currently full Professor at Université de Toulouse and researcher with CNRS research Laboratory: LAPLACE, LAboratory for PLAsma and Conversion of Energy in CODIASE (Control and Diagnostic of Electrical Systems) group. His research activities deal with the design of experiments as an optimisation and modelling tool in control and diagnosis, the diagnosis of electrical systems such as drives and lighting, the control of power converters for induction heating or energy efficiency improvement in renewable energy systems, life cycle assessment in renewable energy systems. He is currently Toulouse INP Vice President for the International Affairs.