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Statistical analysis of power cycling data

Statistische Analyse von aktiven Lastwechseldaten
 
: Hutzler, Aaron; Schletz, Andreas

MESAGO PCIM GmbH, Stuttgart:
PCIM Europe 2013. Proceedings. CD-ROM : International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, Nuremberg, 14 - 16 May 2013
Berlin: VDE-Verlag, 2013
ISBN: 978-3-8007-3505-1
pp.818-824
PCIM Europe <2013, Nuremberg>
English
Conference Paper
Fraunhofer IISB ()
power cycling; statistics; Weibull destribution; different temperature swings; lifetime modeling; dT correction; test conditions

Abstract
Power cycling is a common test method to assess the lifetime of a power electronic assembly. The generated data are often analyzed according to Weibull statistics. But before assuming a Weibull distribution it has to be proven that Weibull fits at all. Another problem of the Power Cycling test data analysis is the difference in test conditions between the single devices (different temperature swings), which results in a distorted number of cycles to failure. In this paper a correction method for that problem is shown, which makes it possible to use all samples of one Power Cycling run for statistical analysis.

: http://publica.fraunhofer.de/documents/N-242015.html