A0995
Title: Analysis of zero-increment degradation data
Authors: Yi-Fu Wang - National Cheng Kung University (Taiwan) [presenting]
Abstract: For high-reliability products, degradation analysis is a commonly used tool to predict the product's lifetime. The gamma process model is the most widely utilized degradation model to fit the monotonic degradation path. However, as the monotonic degradation path appears in some zero-increment cases, it causes the gamma process model cannot be adopted to implement the degradation analysis. Thus, some nondecreasing gamma process models that incorporate the mixture probability distribution to deal with the zero-increment degradation data are proposed. The homogeneous and nonhomogeneous properties for the probability of occurrence of zero-increment are considered. In addition, it is also considered that the smallest limitation of measuring instruments in recording observations exists. Simulation studies and real examples are carried out to illustrate the proposed models.
