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In this paper, an innovative methodology for predictive reliability of intelligent power devices used in automotive applications is considered. Reliability management is done at all levels of the technological process. This method is based on the failure analysis along with electro-thermo-mechanical modeling and on extreme fatigue testing. A new power MOS(More)
BACKGROUND Strong geographic variations in the incidence of end-stage renal disease (ESRD) are observed in developed countries. The reasons for these variations are unknown. They may reflect regional inequalities in the population's sociodemographic characteristics, related diseases, or medical practice patterns. In France, at the district level, the(More)
The purpose of this study was to investigate, under standard conditions, the bioaccumulation of zinc and cadmium in Arrhenatherum elatius, a perennial grass with a high biomass production. Nine populations of three different origins were tested: three metallicolous populations (mpop); three non-metallicolous populations (nmpop) and three populations(More)
In power electronic applications, the self-heating process of the main components impacts the electrical characteristics of the device. This power dissipation can also induce large thermal gradients which cause mechanical stresses that will reduce the operational lifetime of the device and induce premature failure. Since the electrical loading is usually a(More)
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