Abstract: The reliability assessment of long life satellite moving components has small sample size and zero-failure,so classical large sample life data based statistical methods and current zero-failure data analysis methods are no longer valid for the life distribution modeling and reliability assessment of the components.This paper studies Weibull life type satellite moving components,and provides an effective Bayes reliability assessment method,which synthesizes various data of similar models and constructs Bayes prior distribution using similarity factor and Bootstrap method.Example analysis shows that the provided method has higher precision and provides a valid way of solving reliability assessment difficulties of long life satellite moving components under small sample and zero-failure.