Study on Bayesian Method for Life Distribution of Zero-Failure Data


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With the development of science and technology, the quality of the product is better and better. Consequently, in the time-ended life tests, zero-failure data is of frequent occurrence. So the evaluation of the product’s life 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. In the paper, Bayesian estimation of failure probability of zero-failure data are take out, combined linear fitting method and the software of Matlab, the method to ascertain types of product’s life distribution is come out according to zero-failure data. Finally calculation is performed regarding to zero-failure data of a certain model engine, and ascertain the equation of the engine’s life distribution.



Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen






Y. F. Tang et al., "Study on Bayesian Method for Life Distribution of Zero-Failure Data", Applied Mechanics and Materials, Vols. 121-126, pp. 4747-4752, 2012

Online since:

October 2011




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