Data mining for degradation modelling

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
material performances.