An overview of component qualification using Bayesian statistics and energy methods.

Dohner, Jeffrey Lynn

Sandia National Laboratories

关键词: Statistics;    Learning;    Mathematics;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;   

DOI  :  10.2172/1029778
RP-ID  :  SAND2011-6006
RP-ID  :  AC04-94AL85000
RP-ID  :  1029778

美国|英语

来源: UNT Digital Library

【 摘 要 】

The below overview is designed to give the reader a limited understanding of Bayesian and Maximum Likelihood (MLE) estimation; a basic understanding of some of the mathematical tools to evaluate the quality of an estimation; an introduction to energy methods and a limited discussion of damage potential. This discussion then goes on to presented a limited presentation as to how energy methods and Bayesian estimation are used together to qualify components. Example problems with solutions have been supplied as a learning aid. Bold letters are used to represent random variables. Un-bolded letter represent deterministic values. A concluding section presents a discussion of attributes and concerns.