Accelerated degradation testing is widely accepted in competitive
industries. As there is no longer the need to test till failures,
there are tremendous cost and time benefits on fully capitalizing
on such a testing regime. Consequently, this research has aimed for
better understanding of the relationship between design and
degradation using the degradation data. Artificial neural network
is widely used for complex problems in the literature. This book
proposes and demonstrates the neural network modelling methodology
into capturing the non parametric relationship between design and
degradation, specific to the particular problem domain. In
particular, two models of different practical significance are
developed and compiled as Windows executables for predicting
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