Abstract
A methodology is presented to derive a statistical fatigue loading profile of the total population of users of a vehicle model, from failure data recorded on the same or a previous model. The method is based on fitting a bivariate probability density function on normalised failure data. This is radically more economic than existing methods. Reasonable accuracy could be achieved, even if the failures represent only a small fraction of the total population. The two-parameter usage profile determined in this way offers a powerful approach to predict failures or derive statistically based durability test or design requirements.
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