An Equipment Storage Effect Assessment Method Based on Censored Data

This paper studies the storage reliability assessment of weaponry equipment. Focusing on the storage life of equipment components, this paper analyzes the data characteristics of equipment storage testing at present. Subsequently, Bayesian inference is combined with parameter traversing to propose a method for the reasonable assessment of equipment component storage effect using the censored data of storage. By virtue of example design and simulation verification, the proposed method is proved to be effective in the data analysis with small sample size, and of great value in the practical application.