Zero-failure Data Analysis Of The Ship's Life

The ship's life relates to the reliability of the ship's system nearly. Along with the rapid development of science and technology, the ship's reliability is improving continously. To get failure data of the ship's life, we not only need spend long time in experiment, but also the breakage of the ship is unreachable because of high price. Especially in the experiment to test the reliability, because of high reliability and few samples, we often get Zero-failure data of the ship's life through the censored method. Therefore, the analysis of the ship's Zero-failure data becomes a problem that need to be solved urgently.This paper estimates the reliability of the ship system based on the analysis of Zero-failure data of its life. The purpose of the evaluation of reliability is to reflect the true level of the current system's reliability, then we can promote the management of the reliability in the process of the research, manufacture, and use the system. So the evaluation of the ship's reliability has important meaning and greatly practical value. While Bayesian estimation is a very effective method about the analysis of the product's Zero-failure data, the ideal model of data mining and expression of uncertain knowledge.Firstly, this paper introduces the meaning of researching the Zero-failure data and its developmental condition. Secondly, this paper introduces the basic theory of the life distribution, life data analysis and Bayesian statistical inference. Finally, under the hypothesis that the ship's Zero-failure data obeys the Weibull distribution and exponential distribution respectively, this paper analyzes Zero-failure data of the ship's life by using Bayesian estimation and hierarchical Bayesian estimation, and gets quite satisfying results.