Reliability design based on dynamic factorial experimental model

This paper discusses how to apply the fractional factorial experiment method to degradation testing and reliability design. The static fractional factorial experimental model is extended to the dynamic fractional factorial experimental model. In data analysis, we suggest using degradation measure and safety margin function Z(t) as the response variable. Z(t) is similar to the signal-noise-ratio defined by Taguchi but has a clear relationship with reliability measure. Using the fractional factorial experimental models, we give a method for factorial parameter tolerance design from a product reliability requirement. An application example is given